diff --git a/.github/workflows/engine-workflow.yml b/.github/workflows/engine-workflow.yml
index 1b0f242a..a48bfede 100644
--- a/.github/workflows/engine-workflow.yml
+++ b/.github/workflows/engine-workflow.yml
@@ -17,12 +17,12 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [3.7, 3.8]
+        python-version: ["3.8", "3.9", "3.10"]
 
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
       - name: Install dependencies
diff --git a/.github/workflows/release-workflow.yml b/.github/workflows/release-workflow.yml
index 05a04fbc..98b46fe6 100644
--- a/.github/workflows/release-workflow.yml
+++ b/.github/workflows/release-workflow.yml
@@ -12,7 +12,7 @@ jobs:
         os: [macos-latest, windows-latest]
 
     steps:
-      - uses: actions/checkout@v1
+      - uses: actions/checkout@v4
       - name: Set the env variables
         run: |
           echo "USE_HARD_LINKS=false" >> $GITHUB_ENV
@@ -41,9 +41,9 @@ jobs:
           fi
         id: extract_executable_name
 
-      - uses: actions/setup-python@v2
+      - uses: actions/setup-python@v5
         with:
-          python-version: 3.7
+          python-version: "3.10"
 
       - name: Install Engine dependencies
         run: |
diff --git a/.pylintrc b/.pylintrc
index a0109435..2bb5ea9e 100644
--- a/.pylintrc
+++ b/.pylintrc
@@ -52,7 +52,7 @@ confidence=
 # --disable=W"
 # TODO: remove R1710 (inconsistent-return-statements)
 # TODO: remove C0111 (missing-docstring)
-disable=similarities,fixme,I0011,E1102,R1710,C0111
+disable=similarities,fixme,I0011,E1102,R1710,C0111,cyclic-import
 
 # Enable the message, report, category or checker with the given id(s). You can
 # either give multiple identifier separated by comma (,) or put this option
diff --git a/Pipfile b/Pipfile
index cbc16288..c205e950 100644
--- a/Pipfile
+++ b/Pipfile
@@ -5,7 +5,7 @@ verify_ssl = true
 
 [packages]
 apscheduler = "==3.7.0"
-datature = "==1.0.1"
+datature = "==1.6.0"
 dirhash = "==0.2.1"
 flask = "==2.0.0"
 flask-cors = "==3.0.10"
@@ -16,13 +16,13 @@ numpy = "==1.21.6"
 onnx = "==1.12.0"
 onnx2torch = "==1.5.6"
 onnxruntime = "==1.14.1"
-opencv-python = "==4.6.0.66"
-pillow = "==8.2.0"
+opencv-python = "==4.7.0.72"
+pillow = "==9.5.0"
 scandir = "==1.10.0"
 scantree = "==0.0.1"
 shapely = "==2.0.1"
-tensorflow = "==2.10.0"
-tensorflow-macos = {version = "==2.10.0", sys_platform = "== 'darwin'", platform_machine = "== 'arm64'"}
+tensorflow = "==2.11.0"
+tensorflow-macos = {version = "==2.11.0", sys_platform = "== 'darwin'", platform_machine = "== 'arm64'"}
 torch = "==1.12.1"
 torchvision = "==0.13.1"
 ultralytics = "==8.0.133"
@@ -33,4 +33,4 @@ isort = "*"
 pylint = "*"
 
 [requires]
-python_version = "3.7"
+python_version = "3.9"
diff --git a/Pipfile.lock b/Pipfile.lock
index 3321a70b..24955c7b 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,11 +1,11 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "866cc6fe6568ae8f650776b0103421982d2e314b8c0c9f3ec2b2f688b139e963"
+            "sha256": "42ac54046fa9284b9e1bd9582c8620164f488059495cac16037d50865fcf5544"
         },
         "pipfile-spec": 6,
         "requires": {
-            "python_version": "3.7"
+            "python_version": "3.9"
         },
         "sources": [
             {
@@ -26,19 +26,19 @@
         },
         "absl-py": {
             "hashes": [
-                "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47",
-                "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"
+                "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308",
+                "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==1.4.0"
+            "markers": "python_version >= '3.7'",
+            "version": "==2.1.0"
         },
         "alive-progress": {
             "hashes": [
-                "sha256:74a95d8d0d42bc99d3a3725dbd06ebb852245f1b64e301a7c375b92b22663f7b",
-                "sha256:c80ad87ce9c1054b01135a87fae69ecebbfc2107497ae87cbe6aec7e534903db"
+                "sha256:1e910ef0ceccfd2b09682f119330bd9a0bf2b4c4ddfa83de4d3d3741e104d98f",
+                "sha256:3245114253b6adb4b38f2a2a1828edfcd9e8c012f7e30a5cef1932ca7344eb44"
             ],
             "markers": "python_version >= '3.7' and python_version < '4'",
-            "version": "==3.1.4"
+            "version": "==3.0.1"
         },
         "aniso8601": {
             "hashes": [
@@ -47,14 +47,6 @@
             ],
             "version": "==9.0.1"
         },
-        "ansicon": {
-            "hashes": [
-                "sha256:e4d039def5768a47e4afec8e89e83ec3ae5a26bf00ad851f914d1240b444d2b1",
-                "sha256:f1def52d17f65c2c9682cf8370c03f541f410c1752d6a14029f97318e4b9dfec"
-            ],
-            "markers": "platform_system == 'Windows'",
-            "version": "==1.89.0"
-        },
         "apscheduler": {
             "hashes": [
                 "sha256:1cab7f2521e107d07127b042155b632b7a1cd5e02c34be5a28ff62f77c900c6a",
@@ -72,19 +64,19 @@
         },
         "attrs": {
             "hashes": [
-                "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04",
-                "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"
+                "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30",
+                "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==23.1.0"
+            "version": "==23.2.0"
         },
         "bidict": {
             "hashes": [
-                "sha256:1e0f7f74e4860e6d0943a05d4134c63a2fad86f3d4732fb265bd79e4e856d81d",
-                "sha256:6ef212238eb884b664f28da76f33f1d28b260f665fc737b413b287d5487d1e7b"
+                "sha256:03069d763bc387bbd20e7d49914e75fc4132a41937fa3405417e1a5a2d006d71",
+                "sha256:5dae8d4d79b552a71cbabc7deb25dfe8ce710b17ff41711e13010ead2abfc3e5"
             ],
-            "markers": "python_version >= '3.7'",
-            "version": "==0.22.1"
+            "markers": "python_version >= '3.8'",
+            "version": "==0.23.1"
         },
         "blessed": {
             "hashes": [
@@ -96,115 +88,130 @@
         },
         "cachetools": {
             "hashes": [
-                "sha256:95ef631eeaea14ba2e36f06437f36463aac3a096799e876ee55e5cdccb102590",
-                "sha256:dce83f2d9b4e1f732a8cd44af8e8fab2dbe46201467fc98b3ef8f269092bf62b"
+                "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945",
+                "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==5.3.1"
+            "version": "==5.3.3"
         },
         "certifi": {
             "hashes": [
-                "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082",
-                "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"
+                "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f",
+                "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"
             ],
             "markers": "python_version >= '3.6'",
-            "version": "==2023.7.22"
+            "version": "==2024.2.2"
         },
         "charset-normalizer": {
             "hashes": [
-                "sha256:04e57ab9fbf9607b77f7d057974694b4f6b142da9ed4a199859d9d4d5c63fe96",
-                "sha256:09393e1b2a9461950b1c9a45d5fd251dc7c6f228acab64da1c9c0165d9c7765c",
-                "sha256:0b87549028f680ca955556e3bd57013ab47474c3124dc069faa0b6545b6c9710",
-                "sha256:1000fba1057b92a65daec275aec30586c3de2401ccdcd41f8a5c1e2c87078706",
-                "sha256:1249cbbf3d3b04902ff081ffbb33ce3377fa6e4c7356f759f3cd076cc138d020",
-                "sha256:1920d4ff15ce893210c1f0c0e9d19bfbecb7983c76b33f046c13a8ffbd570252",
-                "sha256:193cbc708ea3aca45e7221ae58f0fd63f933753a9bfb498a3b474878f12caaad",
-                "sha256:1a100c6d595a7f316f1b6f01d20815d916e75ff98c27a01ae817439ea7726329",
-                "sha256:1f30b48dd7fa1474554b0b0f3fdfdd4c13b5c737a3c6284d3cdc424ec0ffff3a",
-                "sha256:203f0c8871d5a7987be20c72442488a0b8cfd0f43b7973771640fc593f56321f",
-                "sha256:246de67b99b6851627d945db38147d1b209a899311b1305dd84916f2b88526c6",
-                "sha256:2dee8e57f052ef5353cf608e0b4c871aee320dd1b87d351c28764fc0ca55f9f4",
-                "sha256:2efb1bd13885392adfda4614c33d3b68dee4921fd0ac1d3988f8cbb7d589e72a",
-                "sha256:2f4ac36d8e2b4cc1aa71df3dd84ff8efbe3bfb97ac41242fbcfc053c67434f46",
-                "sha256:3170c9399da12c9dc66366e9d14da8bf7147e1e9d9ea566067bbce7bb74bd9c2",
-                "sha256:3b1613dd5aee995ec6d4c69f00378bbd07614702a315a2cf6c1d21461fe17c23",
-                "sha256:3bb3d25a8e6c0aedd251753a79ae98a093c7e7b471faa3aa9a93a81431987ace",
-                "sha256:3bb7fda7260735efe66d5107fb7e6af6a7c04c7fce9b2514e04b7a74b06bf5dd",
-                "sha256:41b25eaa7d15909cf3ac4c96088c1f266a9a93ec44f87f1d13d4a0e86c81b982",
-                "sha256:45de3f87179c1823e6d9e32156fb14c1927fcc9aba21433f088fdfb555b77c10",
-                "sha256:46fb8c61d794b78ec7134a715a3e564aafc8f6b5e338417cb19fe9f57a5a9bf2",
-                "sha256:48021783bdf96e3d6de03a6e39a1171ed5bd7e8bb93fc84cc649d11490f87cea",
-                "sha256:4957669ef390f0e6719db3613ab3a7631e68424604a7b448f079bee145da6e09",
-                "sha256:5e86d77b090dbddbe78867a0275cb4df08ea195e660f1f7f13435a4649e954e5",
-                "sha256:6339d047dab2780cc6220f46306628e04d9750f02f983ddb37439ca47ced7149",
-                "sha256:681eb3d7e02e3c3655d1b16059fbfb605ac464c834a0c629048a30fad2b27489",
-                "sha256:6c409c0deba34f147f77efaa67b8e4bb83d2f11c8806405f76397ae5b8c0d1c9",
-                "sha256:7095f6fbfaa55defb6b733cfeb14efaae7a29f0b59d8cf213be4e7ca0b857b80",
-                "sha256:70c610f6cbe4b9fce272c407dd9d07e33e6bf7b4aa1b7ffb6f6ded8e634e3592",
-                "sha256:72814c01533f51d68702802d74f77ea026b5ec52793c791e2da806a3844a46c3",
-                "sha256:7a4826ad2bd6b07ca615c74ab91f32f6c96d08f6fcc3902ceeedaec8cdc3bcd6",
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-                "sha256:855eafa5d5a2034b4621c74925d89c5efef61418570e5ef9b37717d9c796419c",
-                "sha256:8700f06d0ce6f128de3ccdbc1acaea1ee264d2caa9ca05daaf492fde7c2a7200",
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-                "sha256:8b2c760cfc7042b27ebdb4a43a4453bd829a5742503599144d54a032c5dc7e9e",
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-                "sha256:94aea8eff76ee6d1cdacb07dd2123a68283cb5569e0250feab1240058f53b623",
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-                "sha256:f2a1d0fd4242bd8643ce6f98927cf9c04540af6efa92323e9d3124f57727bfc1",
-                "sha256:f7560358a6811e52e9c4d142d497f1a6e10103d3a6881f18d04dbce3729c0e2c",
-                "sha256:f779d3ad205f108d14e99bb3859aa7dd8e9c68874617c72354d7ecaec2a054ac",
-                "sha256:f87f746ee241d30d6ed93969de31e5ffd09a2961a051e60ae6bddde9ec3583aa"
+                "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027",
+                "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087",
+                "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786",
+                "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8",
+                "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09",
+                "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185",
+                "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574",
+                "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e",
+                "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519",
+                "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898",
+                "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269",
+                "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3",
+                "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f",
+                "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6",
+                "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8",
+                "sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a",
+                "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73",
+                "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc",
+                "sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714",
+                "sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2",
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@@ -311,6 +296,14 @@
             "index": "pypi",
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@@ -352,18 +345,58 @@
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@@ -375,11 +408,11 @@
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@@ -577,27 +627,35 @@
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@@ -609,19 +667,11 @@
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@@ -633,91 +683,120 @@
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@@ -782,108 +823,111 @@
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@@ -892,13 +936,55 @@
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@@ -1194,80 +1314,56 @@
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@@ -1283,11 +1382,15 @@
                 "sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3",
                 "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007",
                 "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938",
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                 "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c",
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                 "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d",
+                "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28",
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                 "sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba",
                 "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8",
+                "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef",
                 "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5",
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                 "sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3",
@@ -1300,7 +1403,9 @@
                 "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43",
                 "sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859",
                 "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673",
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                 "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a",
+                "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b",
                 "sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab",
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                 "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c",
@@ -1329,11 +1434,11 @@
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-            "version": "==1.3.1"
+            "version": "==1.4.0"
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@@ -1343,6 +1448,14 @@
             "markers": "python_version >= '3.6' and python_version < '4'",
             "version": "==4.9"
         },
+        "runs": {
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@@ -1369,54 +1482,50 @@
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-            "version": "==0.12.2"
+            "markers": "python_version >= '3.8'",
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         "setuptools": {
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+            "markers": "python_version >= '3.8'",
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         "shapely": {
             "hashes": [
@@ -1462,12 +1571,20 @@
             "index": "pypi",
             "version": "==2.0.1"
         },
+        "simple-websocket": {
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+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'",
             "version": "==1.16.0"
         },
         "spinners": {
@@ -1479,18 +1596,18 @@
         },
         "sympy": {
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-            "markers": "python_version >= '3.7'",
-            "version": "==1.10.1"
+            "markers": "python_version >= '3.8'",
+            "version": "==1.12"
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         "tensorboard": {
             "hashes": [
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+            "markers": "python_version >= '3.7'",
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         "tensorboard-data-server": {
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@@ -1509,65 +1626,59 @@
         },
         "tensorflow": {
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@@ -1622,19 +1733,27 @@
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@@ -1653,18 +1772,18 @@
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-                "sha256:fd946abf3c31fb50eee07451a6aedbfff912fcd13cf357363f5b4e834cc5e71a",
-                "sha256:fe58ef6a764de7b4b36edfc8592641f56e69b7163bba9f9c8089838ee596bfb2"
-            ],
-            "markers": "python_version < '3.8' and implementation_name == 'cpython'",
-            "version": "==1.5.5"
+            "version": "==0.12.4"
         },
         "typing-extensions": {
             "hashes": [
-                "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36",
-                "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"
+                "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475",
+                "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"
             ],
-            "markers": "python_version >= '3.7'",
-            "version": "==4.7.1"
-        },
-        "wrapt": {
-            "hashes": [
-                "sha256:02fce1852f755f44f95af51f69d22e45080102e9d00258053b79367d07af39c0",
-                "sha256:077ff0d1f9d9e4ce6476c1a924a3332452c1406e59d90a2cf24aeb29eeac9420",
-                "sha256:078e2a1a86544e644a68422f881c48b84fef6d18f8c7a957ffd3f2e0a74a0d4a",
-                "sha256:0970ddb69bba00670e58955f8019bec4a42d1785db3faa043c33d81de2bf843c",
-                "sha256:1286eb30261894e4c70d124d44b7fd07825340869945c79d05bda53a40caa079",
-                "sha256:21f6d9a0d5b3a207cdf7acf8e58d7d13d463e639f0c7e01d82cdb671e6cb7923",
-                "sha256:230ae493696a371f1dbffaad3dafbb742a4d27a0afd2b1aecebe52b740167e7f",
-                "sha256:26458da5653aa5b3d8dc8b24192f574a58984c749401f98fff994d41d3f08da1",
-                "sha256:2cf56d0e237280baed46f0b5316661da892565ff58309d4d2ed7dba763d984b8",
-                "sha256:2e51de54d4fb8fb50d6ee8327f9828306a959ae394d3e01a1ba8b2f937747d86",
-                "sha256:2fbfbca668dd15b744418265a9607baa970c347eefd0db6a518aaf0cfbd153c0",
-                "sha256:38adf7198f8f154502883242f9fe7333ab05a5b02de7d83aa2d88ea621f13364",
-                "sha256:3a8564f283394634a7a7054b7983e47dbf39c07712d7b177b37e03f2467a024e",
-                "sha256:3abbe948c3cbde2689370a262a8d04e32ec2dd4f27103669a45c6929bcdbfe7c",
-                "sha256:3bbe623731d03b186b3d6b0d6f51865bf598587c38d6f7b0be2e27414f7f214e",
-                "sha256:40737a081d7497efea35ab9304b829b857f21558acfc7b3272f908d33b0d9d4c",
-                "sha256:41d07d029dd4157ae27beab04d22b8e261eddfc6ecd64ff7000b10dc8b3a5727",
-                "sha256:46ed616d5fb42f98630ed70c3529541408166c22cdfd4540b88d5f21006b0eff",
-                "sha256:493d389a2b63c88ad56cdc35d0fa5752daac56ca755805b1b0c530f785767d5e",
-                "sha256:4ff0d20f2e670800d3ed2b220d40984162089a6e2c9646fdb09b85e6f9a8fc29",
-                "sha256:54accd4b8bc202966bafafd16e69da9d5640ff92389d33d28555c5fd4f25ccb7",
-                "sha256:56374914b132c702aa9aa9959c550004b8847148f95e1b824772d453ac204a72",
-                "sha256:578383d740457fa790fdf85e6d346fda1416a40549fe8db08e5e9bd281c6a475",
-                "sha256:58d7a75d731e8c63614222bcb21dd992b4ab01a399f1f09dd82af17bbfc2368a",
-                "sha256:5c5aa28df055697d7c37d2099a7bc09f559d5053c3349b1ad0c39000e611d317",
-                "sha256:5fc8e02f5984a55d2c653f5fea93531e9836abbd84342c1d1e17abc4a15084c2",
-                "sha256:63424c681923b9f3bfbc5e3205aafe790904053d42ddcc08542181a30a7a51bd",
-                "sha256:64b1df0f83706b4ef4cfb4fb0e4c2669100fd7ecacfb59e091fad300d4e04640",
-                "sha256:74934ebd71950e3db69960a7da29204f89624dde411afbfb3b4858c1409b1e98",
-                "sha256:75669d77bb2c071333417617a235324a1618dba66f82a750362eccbe5b61d248",
-                "sha256:75760a47c06b5974aa5e01949bf7e66d2af4d08cb8c1d6516af5e39595397f5e",
-                "sha256:76407ab327158c510f44ded207e2f76b657303e17cb7a572ffe2f5a8a48aa04d",
-                "sha256:76e9c727a874b4856d11a32fb0b389afc61ce8aaf281ada613713ddeadd1cfec",
-                "sha256:77d4c1b881076c3ba173484dfa53d3582c1c8ff1f914c6461ab70c8428b796c1",
-                "sha256:780c82a41dc493b62fc5884fb1d3a3b81106642c5c5c78d6a0d4cbe96d62ba7e",
-                "sha256:7dc0713bf81287a00516ef43137273b23ee414fe41a3c14be10dd95ed98a2df9",
-                "sha256:7eebcdbe3677e58dd4c0e03b4f2cfa346ed4049687d839adad68cc38bb559c92",
-                "sha256:896689fddba4f23ef7c718279e42f8834041a21342d95e56922e1c10c0cc7afb",
-                "sha256:96177eb5645b1c6985f5c11d03fc2dbda9ad24ec0f3a46dcce91445747e15094",
-                "sha256:96e25c8603a155559231c19c0349245eeb4ac0096fe3c1d0be5c47e075bd4f46",
-                "sha256:9d37ac69edc5614b90516807de32d08cb8e7b12260a285ee330955604ed9dd29",
-                "sha256:9ed6aa0726b9b60911f4aed8ec5b8dd7bf3491476015819f56473ffaef8959bd",
-                "sha256:a487f72a25904e2b4bbc0817ce7a8de94363bd7e79890510174da9d901c38705",
-                "sha256:a4cbb9ff5795cd66f0066bdf5947f170f5d63a9274f99bdbca02fd973adcf2a8",
-                "sha256:a74d56552ddbde46c246b5b89199cb3fd182f9c346c784e1a93e4dc3f5ec9975",
-                "sha256:a89ce3fd220ff144bd9d54da333ec0de0399b52c9ac3d2ce34b569cf1a5748fb",
-                "sha256:abd52a09d03adf9c763d706df707c343293d5d106aea53483e0ec8d9e310ad5e",
-                "sha256:abd8f36c99512755b8456047b7be10372fca271bf1467a1caa88db991e7c421b",
-                "sha256:af5bd9ccb188f6a5fdda9f1f09d9f4c86cc8a539bd48a0bfdc97723970348418",
-                "sha256:b02f21c1e2074943312d03d243ac4388319f2456576b2c6023041c4d57cd7019",
-                "sha256:b06fa97478a5f478fb05e1980980a7cdf2712015493b44d0c87606c1513ed5b1",
-                "sha256:b0724f05c396b0a4c36a3226c31648385deb6a65d8992644c12a4963c70326ba",
-                "sha256:b130fe77361d6771ecf5a219d8e0817d61b236b7d8b37cc045172e574ed219e6",
-                "sha256:b56d5519e470d3f2fe4aa7585f0632b060d532d0696c5bdfb5e8319e1d0f69a2",
-                "sha256:b67b819628e3b748fd3c2192c15fb951f549d0f47c0449af0764d7647302fda3",
-                "sha256:ba1711cda2d30634a7e452fc79eabcadaffedf241ff206db2ee93dd2c89a60e7",
-                "sha256:bbeccb1aa40ab88cd29e6c7d8585582c99548f55f9b2581dfc5ba68c59a85752",
-                "sha256:bd84395aab8e4d36263cd1b9308cd504f6cf713b7d6d3ce25ea55670baec5416",
-                "sha256:c99f4309f5145b93eca6e35ac1a988f0dc0a7ccf9ccdcd78d3c0adf57224e62f",
-                "sha256:ca1cccf838cd28d5a0883b342474c630ac48cac5df0ee6eacc9c7290f76b11c1",
-                "sha256:cd525e0e52a5ff16653a3fc9e3dd827981917d34996600bbc34c05d048ca35cc",
-                "sha256:cdb4f085756c96a3af04e6eca7f08b1345e94b53af8921b25c72f096e704e145",
-                "sha256:ce42618f67741d4697684e501ef02f29e758a123aa2d669e2d964ff734ee00ee",
-                "sha256:d06730c6aed78cee4126234cf2d071e01b44b915e725a6cb439a879ec9754a3a",
-                "sha256:d5fe3e099cf07d0fb5a1e23d399e5d4d1ca3e6dfcbe5c8570ccff3e9208274f7",
-                "sha256:d6bcbfc99f55655c3d93feb7ef3800bd5bbe963a755687cbf1f490a71fb7794b",
-                "sha256:d787272ed958a05b2c86311d3a4135d3c2aeea4fc655705f074130aa57d71653",
-                "sha256:e169e957c33576f47e21864cf3fc9ff47c223a4ebca8960079b8bd36cb014fd0",
-                "sha256:e20076a211cd6f9b44a6be58f7eeafa7ab5720eb796975d0c03f05b47d89eb90",
-                "sha256:e826aadda3cae59295b95343db8f3d965fb31059da7de01ee8d1c40a60398b29",
-                "sha256:eef4d64c650f33347c1f9266fa5ae001440b232ad9b98f1f43dfe7a79435c0a6",
-                "sha256:f2e69b3ed24544b0d3dbe2c5c0ba5153ce50dcebb576fdc4696d52aa22db6034",
-                "sha256:f87ec75864c37c4c6cb908d282e1969e79763e0d9becdfe9fe5473b7bb1e5f09",
-                "sha256:fbec11614dba0424ca72f4e8ba3c420dba07b4a7c206c8c8e4e73f2e98f4c559",
-                "sha256:fd69666217b62fa5d7c6aa88e507493a34dec4fa20c5bd925e4bc12fce586639"
-            ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
-            "version": "==1.15.0"
+            "markers": "python_version >= '3.8'",
+            "version": "==4.10.0"
         }
     }
 }
diff --git a/build-windows.sh b/build-windows.sh
old mode 100644
new mode 100755
diff --git a/package-lock.json b/package-lock.json
index e11d51c3..30849ff4 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -18,7 +18,7 @@
       },
       "devDependencies": {
         "electron": "^13.1.2",
-        "electron-builder": "^23.0.2",
+        "electron-builder": "^23.6.0",
         "npx": "^10.2.2"
       },
       "optionalDependencies": {
@@ -8380,7 +8380,8 @@
       "version": "3.5.2",
       "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-3.5.2.tgz",
       "integrity": "sha512-5p6WTN0DdTGVQk6VjcEju19IgaHudalcfabD7yhDGeA6bcQnmL+CpveLJq/3hvfwd1aof6L386Ougkx6RfyMIQ==",
-      "dev": true
+      "dev": true,
+      "requires": {}
     },
     "ansi-regex": {
       "version": "5.0.1",
diff --git a/package.json b/package.json
index ef2a3470..ce3034fa 100644
--- a/package.json
+++ b/package.json
@@ -62,7 +62,7 @@
   },
   "devDependencies": {
     "electron": "^13.1.2",
-    "electron-builder": "^23.0.2",
+    "electron-builder": "^23.6.0",
     "npx": "^10.2.2"
   },
   "optionalDependencies": {
diff --git a/requirements.txt b/requirements.txt
index bb4ea4e4..5f13cd38 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,5 @@
 APScheduler==3.7.0
-datature==1.0.1
+datature==1.6.0
 dirhash==0.2.1
 Flask==2.0.0
 Flask-Cors==3.0.10
@@ -7,13 +7,13 @@ Flask-RESTful==0.3.9
 Flask-SocketIO==5.1.0
 jsonpickle==2.0.0
 numpy==1.21.6
-opencv-python==4.6.0.66
-Pillow==8.2.0
+opencv-python==4.7.0.72
+Pillow==9.5.0
 scandir==1.10.0
 scantree==0.0.1
 shapely==2.0.1
-tensorflow==2.10.0; sys_platform != 'darwin' or platform_machine != 'arm64'
-tensorflow-macos==2.10.0; sys_platform == 'darwin' and platform_machine == 'arm64'
+tensorflow==2.11.0; sys_platform != 'darwin' or platform_machine != 'arm64'
+tensorflow-macos==2.11.0; sys_platform == 'darwin' and platform_machine == 'arm64'
 torch==1.12.1
 torchvision==0.13.1
 onnx==1.12.0
diff --git a/setup-virtualenv.sh b/setup-virtualenv.sh
index 183cdab0..fc7ee92a 100755
--- a/setup-virtualenv.sh
+++ b/setup-virtualenv.sh
@@ -44,7 +44,7 @@ else
     python3 -m pip install --upgrade pip
     python3 -m pip install pipenv
 fi
-PIPENV_VENV_IN_PROJECT=1 PIPENV_DEFAULT_PYTHON_VERSION=3.7 pipenv sync -d
+PIPENV_VENV_IN_PROJECT=1 PIPENV_DEFAULT_PYTHON_VERSION=3.9 pipenv sync -d
 
 cd ..
 
diff --git a/src/app/src/api/annotation.ts b/src/app/src/api/annotation.ts
index e6d27162..dfe8a189 100644
--- a/src/app/src/api/annotation.ts
+++ b/src/app/src/api/annotation.ts
@@ -136,6 +136,7 @@ export function APIRegisterModel(
   description: string,
   directory: string,
   modelKey: string,
+  projectKey: string,
   projectSecret: string,
   modelURL: string
 ): Promise<AxiosResponse<any>> {
@@ -146,6 +147,7 @@ export function APIRegisterModel(
     description,
     credentials: {
       modelKey,
+      projectKey,
       projectSecret,
       modelURL,
     },
diff --git a/src/app/src/components/annotations/model.tsx b/src/app/src/components/annotations/model.tsx
index 0705232b..050b2d93 100644
--- a/src/app/src/components/annotations/model.tsx
+++ b/src/app/src/components/annotations/model.tsx
@@ -59,6 +59,7 @@ export type FormData = {
   description: string;
   directory: string;
   modelKey: string;
+  projectKey: string;
   projectSecret: string;
   modelURL: string;
   modelType: "tensorflow" | "darknet" | "autodetect" | "";
@@ -131,6 +132,7 @@ export default class Model extends React.Component<ModelProps, ModelState> {
         description: "",
         directory: "",
         modelKey: "",
+        projectKey: "",
         projectSecret: "",
         modelURL: "",
       },
@@ -234,6 +236,7 @@ export default class Model extends React.Component<ModelProps, ModelState> {
         this.state.formData.description,
         this.state.formData.directory,
         this.state.formData.modelKey,
+        this.state.formData.projectKey,
         this.state.formData.projectSecret,
         this.state.formData.modelURL
       )
@@ -552,7 +555,16 @@ export default class Model extends React.Component<ModelProps, ModelState> {
                 id="modelKey"
                 name="modelKey"
                 value={this.state.formData.modelKey}
-                placeholder="Enter model key from hub..."
+                placeholder="Enter model key from Nexus..."
+                onChange={this.handleChangeForm}
+              />
+            </FormGroup>
+            <FormGroup label="Project Key" labelFor="label-input">
+              <InputGroup
+                id="projectKey"
+                name="projectKey"
+                value={this.state.formData.projectKey}
+                placeholder="Enter project key from Nexus..."
                 onChange={this.handleChangeForm}
               />
             </FormGroup>
@@ -561,7 +573,7 @@ export default class Model extends React.Component<ModelProps, ModelState> {
                 id="projectSecret"
                 name="projectSecret"
                 value={this.state.formData.projectSecret}
-                placeholder="Enter project secret from hub..."
+                placeholder="Enter project secret from Nexus..."
                 onChange={this.handleChangeForm}
               />{" "}
             </FormGroup>
@@ -673,6 +685,7 @@ export default class Model extends React.Component<ModelProps, ModelState> {
         description: "",
         directory: "",
         modelKey: "",
+        projectKey: "",
         projectSecret: "",
         modelURL: "",
       },
@@ -1066,6 +1079,7 @@ export default class Model extends React.Component<ModelProps, ModelState> {
                 description: "",
                 directory: "",
                 modelKey: "",
+                projectKey: "",
                 projectSecret: "",
                 modelURL: "",
               },
diff --git a/src/engine/server/models/endpoint_model.py b/src/engine/server/models/endpoint_model.py
index 256720c1..900edaad 100644
--- a/src/engine/server/models/endpoint_model.py
+++ b/src/engine/server/models/endpoint_model.py
@@ -29,7 +29,8 @@ class EndpointModel(BaseModel):
 
     def _load_label_map_(self):
         """Overloaded from Parent Class."""
-        link = self.kwargs["link"] + "/classes"
+        index = self.kwargs["link"].rfind("/predict")
+        link = self.kwargs["link"][:index] + "/classes"
         project_secret = self.kwargs["project_secret"]
         headers = {"Authorization": "Bearer " + project_secret}
         response = requests.get(
@@ -81,7 +82,7 @@ def predict(self, image_array):
             "data": encodebytes(bts.tostring()).decode("ascii"),
             "image_type": "base_64",
         }
-        link = self.kwargs["link"] + "/predict"
+        link = self.kwargs["link"]
         project_secret = self.kwargs["project_secret"]
         headers = {"Authorization": "Bearer " + project_secret}
         response = requests.post(
@@ -90,6 +91,7 @@ def predict(self, image_array):
             headers=headers,
         )
         output = response.json()
+
         # convert output into the tensor required by the BaseModel predict
         boxes = []
         classes = []
diff --git a/src/engine/server/routes/routes.py b/src/engine/server/routes/routes.py
index 56b8e339..5705644b 100644
--- a/src/engine/server/routes/routes.py
+++ b/src/engine/server/routes/routes.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 # -*-coding:utf-8 -*-
-'''
+"""
   ████
 ██    ██   Datature
   ██  ██   Powering Breakthrough AI
@@ -12,21 +12,14 @@
 @Contact :   hello@datature.io
 @License :   Apache License 2.0
 @Desc    :   Module containing all API routes.
-'''
+"""
 import os
 from functools import wraps
 
 from flask import Response, jsonify, request, send_file, send_from_directory
 from flask_cors import cross_origin
-
-# Ignore import-error and no-name-in-module due to Pyshell
-# pylint: disable=E0401, E0611, E1135
-# pylint: disable=cyclic-import
-# pylint: disable=undefined-variable
-
 from server import app, global_store, logger, server, wait_for_process
 from server.services import decode, encode
-
 from server.services.errors import Errors, PortalError
 from server.services.filesystem.file import (
     allowed_image,
@@ -39,10 +32,14 @@
     register_hub,
     register_local,
 )
-
 from server.services.predictions import predict_image, predict_video
 from server.utils.prediction_utilities import corrected_predict_query
 
+# Ignore import-error and no-name-in-module due to Pyshell
+# pylint: disable=E0401, E0611, E1135
+# pylint: disable=cyclic-import
+# pylint: disable=undefined-variable
+
 
 def portal_function_handler(clear_status: bool) -> callable:
     """Decorator to handle all API functions.
@@ -74,8 +71,7 @@ def wrapper(*args, **kwargs):
             except PortalError as e:
                 if logger is not None:
                     logger.exception(e)
-                e.set_fail_location(" - ".join(
-                    [func.__module__, func.__name__]))
+                e.set_fail_location(" - ".join([func.__module__, func.__name__]))
                 if e.get_error() != "ATOMICERROR" and clear_status:
                     global_store.clear_status()
                 response = e.output()
@@ -246,8 +242,7 @@ def register_model() -> tuple:
         # Check for empty API Body.
         data = request.get_json()
         if not data:
-            raise PortalError(Errors.NOAPIBODY,
-                              "API body is required but not given.")
+            raise PortalError(Errors.NOAPIBODY, "API body is required but not given.")
 
         # Initialize data.
         input_type: str = data["type"]
@@ -255,6 +250,7 @@ def register_model() -> tuple:
         model_name: str = data["name"]
         model_description: str = data["description"]
         model_key: str = input_credentials["modelKey"]
+        project_key: str = input_credentials["projectKey"]
         project_secret: str = input_credentials["projectSecret"]
         model_url: str = input_credentials["modelURL"]
         model_type: str = data["modelType"]
@@ -288,8 +284,7 @@ def register_model() -> tuple:
                 Errors.INVALIDAPI,
                 "model_key needs to be given if input_type is 'hub'.",
             )
-        if input_type == "endpoint" and (model_url == ""
-                                         or project_secret == ""):
+        if input_type == "endpoint" and (model_url == "" or project_secret == ""):
             raise PortalError(
                 Errors.INVALIDAPI,
                 "Endpoint URL / project_secret "
@@ -303,12 +298,12 @@ def register_model() -> tuple:
             )
         # Register the model using the respective registration code.
         if input_type == "local":
-            register_local(input_directory, model_type, model_name,
-                           model_description)
+            register_local(input_directory, model_type, model_name, model_description)
 
         if input_type == "hub":
             register_hub(
                 model_key,
+                project_key,
                 project_secret,
                 model_name,
                 model_description,
@@ -491,19 +486,15 @@ def predict_single_image(model_id: str) -> tuple:
     """
     try:
         if request.args.get("filepath") is None:
-            raise PortalError(Errors.INVALIDQUERY,
-                              "Filepath is a compulsory query")
+            raise PortalError(Errors.INVALIDQUERY, "Filepath is a compulsory query")
 
         image_directory = decode(request.args.get("filepath"))
         if not os.path.isfile(image_directory):
-            raise PortalError(Errors.NOTFOUND,
-                              "Image is not found from filepath param")
+            raise PortalError(Errors.NOTFOUND, "Image is not found from filepath param")
         if not allowed_image(image_directory):
             raise PortalError(Errors.INVALIDFILETYPE, image_directory)
 
-        corrected_dict = corrected_predict_query("format",
-                                                 "iou",
-                                                 request=request)
+        corrected_dict = corrected_predict_query("format", "iou", request=request)
         format_arg = corrected_dict["format"]
         iou = corrected_dict["iou"]
         reanalyse = corrected_dict["reanalyse"]
@@ -512,8 +503,9 @@ def predict_single_image(model_id: str) -> tuple:
             image_directory,
             format_arg + str(iou),
         )
-        prediction_status = ("predict_single_image_" + model_id +
-                             image_directory + format_arg + str(iou))
+        prediction_status = (
+            "predict_single_image_" + model_id + image_directory + format_arg + str(iou)
+        )
         # check if another atomic process / duplicate process exists
         if global_store.set_status(prediction_status):
             wait_for_process()
@@ -521,8 +513,7 @@ def predict_single_image(model_id: str) -> tuple:
         # reanalyse needs to be false, and the prediction cache must
         # contain the corresponding output, in order for the cache to be
         # served. else, we continue prediction as per norma
-        if (global_store.check_prediction_cache(prediction_key)
-                and reanalyse is False):
+        if global_store.check_prediction_cache(prediction_key) and reanalyse is False:
             output = global_store.get_predictions(prediction_key)
         else:
             if not global_store.get_loaded_model_keys():
@@ -532,8 +523,7 @@ def predict_single_image(model_id: str) -> tuple:
 
             model_class = global_store.get_model_class(model_id)
 
-            output = predict_image(model_class, format_arg, iou,
-                                   image_directory)
+            output = predict_image(model_class, format_arg, iou, image_directory)
             global_store.add_predictions(prediction_key, output)
 
         return (jsonify(output), 200)
@@ -581,22 +571,19 @@ def predict_video_fn(model_id: str) -> tuple:
     """
     try:
         if request.args.get("filepath") is None:
-            raise PortalError(Errors.INVALIDQUERY,
-                              "Filepath is a compulsory query")
+            raise PortalError(Errors.INVALIDQUERY, "Filepath is a compulsory query")
         if request.args.get("frameInterval") is None:
-            raise PortalError(Errors.INVALIDQUERY,
-                              "frameInterval is a compulsory query")
+            raise PortalError(
+                Errors.INVALIDQUERY, "frameInterval is a compulsory query"
+            )
         frame_interval = int(request.args.get("frameInterval"))
         video_directory = decode(request.args.get("filepath"))
         if not os.path.isfile(video_directory):
-            raise PortalError(Errors.NOTFOUND,
-                              "Video is not found from filepath param")
+            raise PortalError(Errors.NOTFOUND, "Video is not found from filepath param")
         if not allowed_video(video_directory):
             raise PortalError(Errors.INVALIDFILETYPE, video_directory)
 
-        corrected_dict = corrected_predict_query("iou",
-                                                 "confidence",
-                                                 request=request)
+        corrected_dict = corrected_predict_query("iou", "confidence", request=request)
         iou = corrected_dict["iou"]
         confidence = corrected_dict["confidence"]
         reanalyse = corrected_dict["reanalyse"]
@@ -605,8 +592,14 @@ def predict_video_fn(model_id: str) -> tuple:
             video_directory,
             str(frame_interval) + str(iou) + str(confidence),
         )
-        prediction_status = ("predict_video_" + model_id + video_directory +
-                             str(frame_interval) + str(iou) + str(confidence))
+        prediction_status = (
+            "predict_video_"
+            + model_id
+            + video_directory
+            + str(frame_interval)
+            + str(iou)
+            + str(confidence)
+        )
         if global_store.set_status(prediction_status):
             wait_for_process()
             return global_store.get_caught_response("predict_video")
@@ -614,8 +607,7 @@ def predict_video_fn(model_id: str) -> tuple:
         # reanalyse needs to be false, and the prediction cache must
         # contain the corresponding output, in order for the cache to be
         # served. else, we continue prediction as per norma
-        if (global_store.check_prediction_cache(prediction_key)
-                and reanalyse is False):
+        if global_store.check_prediction_cache(prediction_key) and reanalyse is False:
             output = global_store.get_predictions(prediction_key)
         else:
             if not global_store.get_loaded_model_keys():
@@ -652,8 +644,7 @@ def predict_video_fn(model_id: str) -> tuple:
 def get_cachelist(model_id) -> tuple:
     """Obtain the list of images that has been successfully predicted."""
     cachelist = [
-        encode(image_dir)
-        for image_dir in global_store.get_predicted_images(model_id)
+        encode(image_dir) for image_dir in global_store.get_predicted_images(model_id)
     ]
     return (jsonify(cachelist), 200)
 
@@ -681,8 +672,9 @@ def register_images() -> Response:
         path = request.json["directory"]
         global_store.add_targeted_folder(path)
 
-        return Response(response="Successfully registered the targeted folder",
-                        status=200)
+        return Response(
+            response="Successfully registered the targeted folder", status=200
+        )
     except KeyError as e:
         raise PortalError(Errors.INVALIDAPI, str(e)) from e
     except FileNotFoundError as e:
@@ -724,8 +716,9 @@ def delete_folder() -> Response:
     # Catches all possible native exceptions here and
     # translates them into PortalError.
     except TypeError as e:
-        raise PortalError(Errors.NOAPIBODY,
-                          "API body is required but not given.") from e
+        raise PortalError(
+            Errors.NOAPIBODY, "API body is required but not given."
+        ) from e
     except FileNotFoundError as e:
         raise PortalError(Errors.INVALIDFILETYPE, str(e)) from e
 
@@ -767,8 +760,7 @@ def get_image():
         path = request.args.get("filepath")
         decoded_path = decode(path)
         if not os.path.exists(decoded_path):
-            raise FileNotFoundError(
-                f"File path {decoded_path} does not exists")
+            raise FileNotFoundError(f"File path {decoded_path} does not exists")
         head, tail = os.path.split(decoded_path)
         return send_from_directory(head, tail)
 
@@ -790,8 +782,7 @@ def get_thumbnail():
         path = request.args.get("filepath")
         decoded_path = decode(path)
         if not os.path.exists(decoded_path):
-            raise FileNotFoundError(
-                f"File path {decoded_path} does not exists")
+            raise FileNotFoundError(f"File path {decoded_path} does not exists")
         # pylint: disable=unused-variable
         head, tail = os.path.split(decoded_path)
         image_bytes = generate_thumbnail(decoded_path, tail)
diff --git a/src/engine/server/services/model_register.py b/src/engine/server/services/model_register.py
index c13122a1..01868ac4 100644
--- a/src/engine/server/services/model_register.py
+++ b/src/engine/server/services/model_register.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 # -*-coding:utf-8 -*-
-'''
+"""
   ████
 ██    ██   Datature
   ██  ██   Powering Breakthrough AI
@@ -12,17 +12,15 @@
 @Contact :   hello@datature.io
 @License :   Apache License 2.0
 @Desc    :   Module containing the register functions.
-'''
+"""
 import os
-import urllib.request
-import zipfile
 
-import datature
+from datature.nexus import Client
 
 # pylint: disable=E0401, E0611
 from server import global_store
-from server.services.errors import Errors, PortalError
 from server.models.abstract.Model import Model
+from server.services.errors import Errors, PortalError
 
 
 def register_local(
@@ -48,6 +46,7 @@ def register_local(
 
 def register_hub(
     model_key: str,
+    project_key: str,
     project_secret: str,
     name: str,
     description: str,
@@ -55,23 +54,20 @@ def register_hub(
     """Register a model from hub.
 
     :param model_key: The model key obtained from Nexus.
+    :param project_key: The project key obtained from Nexus.
     :param project_secret: The project secret obtained from Nexus.
     """
     try:
-        api_url = os.environ.get("API_BASE_URL")
-        if api_url is not None:
-            datature.API_BASE_URL = api_url
-        datature.secret_key = project_secret
+        client = Client(secret_key=project_secret)
+        project = client.get_project(f"proj_{project_key}")
 
         model_id = f"model_{model_key}"
-        artifact_list = [
-            artifact["id"] for artifact in datature.Artifact.list()
-        ]
+        artifact_list = [artifact["id"] for artifact in project.artifacts.list()]
         found = False
         for artifact_id in artifact_list:
             model_list = {
                 model["id"]: model["download"]["url"]
-                for model in datature.Artifact.list_exported(artifact_id)
+                for model in project.artifacts.list_exported_models(artifact_id)
             }
             if model_id in model_list:
                 found = True
@@ -83,24 +79,18 @@ def register_hub(
         if os.path.isdir(model_dir):
             main_path = os.path.join("server", "hub_models", model_id)
         elif os.path.isdir("resources"):
-            main_path = os.path.join("resources", "server", "hub_models",
-                                     model_id)
+            main_path = os.path.join("resources", "server", "hub_models", model_id)
         else:
-            main_path = os.path.join("portal_build", "server", "hub_models",
-                                     model_id)
-        zip_path = f"{main_path}.zip"
-        urllib.request.urlretrieve(model_list[model_id], zip_path)
-        with zipfile.ZipFile(zip_path, 'r') as zip_ref:
-            zip_ref.extractall(main_path)
-        os.remove(zip_path)
+            main_path = os.path.join("portal_build", "server", "hub_models", model_id)
+
+        project.artifacts.download_exported_model(model_id, main_path)
         reg_model = Model(
             "autodetect",
             main_path,
             name,
             description,
         )
-        global_store.add_registered_model(*reg_model.register(),
-                                          store_cache=True)
+        global_store.add_registered_model(*reg_model.register(), store_cache=True)
 
     # Except Block
     # Catches all possible native exceptions here and
@@ -111,8 +101,9 @@ def register_hub(
         raise PortalError(Errors.HUBERROR, str(e)) from e
 
 
-def register_endpoint(link: str, project_secret: str, name: str,
-                      description: str) -> None:
+def register_endpoint(
+    link: str, project_secret: str, name: str, description: str
+) -> None:
     """Register a model from an endpoint.
 
     :param link: The URL of the endpoint.
diff --git a/src/engine/server/services/predictions.py b/src/engine/server/services/predictions.py
index 75771dff..dd4b8e0f 100644
--- a/src/engine/server/services/predictions.py
+++ b/src/engine/server/services/predictions.py
@@ -50,7 +50,6 @@ def _predict_single_image(
     :param confidence: The confidence threshold.
     :return: The predictions in the format requested by format_arg.
     """
-    label_map = model_class.get_label_map()
     image_array = cv2.cvtColor(image_array, cv2.COLOR_BGRA2RGB)
     detections = model_class.predict(image_array=image_array, )
     suppressed_output = get_suppressed_output(
@@ -59,6 +58,7 @@ def _predict_single_image(
         iou=iou,
         confidence=confidence,
     )
+    label_map = model_class.get_label_map()
     if format_arg == "json":
         output = get_detection_json(
             back_to_array(suppressed_output),
diff --git a/src/engine/server/utils/prediction_utilities.py b/src/engine/server/utils/prediction_utilities.py
index 136a0af4..5ad0473f 100644
--- a/src/engine/server/utils/prediction_utilities.py
+++ b/src/engine/server/utils/prediction_utilities.py
@@ -441,10 +441,10 @@ def get_detection_json(detections_output: dict, category_map: tuple) -> list:
     for each_class, _ in enumerate(classes):
         if contours is None or (contours is not None
                                 and bool(contours[each_class])):
-            class_name = category_map[str(classes[each_class])]
+            tag = category_map[str(classes[each_class])]
             item = {}
             item["confidence"] = float(scores[each_class])
-            item["tag"] = class_name
+            item["tag"] = tag
             item["bound"] = [
                 [float(bboxes[each_class][1]),
                  float(bboxes[each_class][0])],