diff --git a/README.md b/README.md
index a4d315b..83e48e4 100644
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@@ -65,7 +65,13 @@ for each mealtime.
Description of Existing Similar Systems
- ➤ Architecture
+
+ ➤ Architecture
+
+
➤ Development
➤ Design
➤ Testing
@@ -135,7 +141,7 @@ segmentation algorithms. To estimate the volume of each food they used the next
#### Survey of the Work
We posted an online Google Form Survey on different social media
apps to provide us with important statistical analysis and most importantly,
-how the idea we are on motivated the common people.
+how the idea we are on, motivated the common people.
@@ -174,6 +180,27 @@ online community of 200 million members. 250+ healthy recipes.
![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)
## 📐 Architecture
+
+
+
+ Careium-AI System Architecture
+
+
+### Phases Description
+
+`Food Detection Model` | `Food Recognition Model` | `Nutrition Extractor Model`
+:------: | :------: | :------:
+Takes an image as an input and by using Deep Neural Networks, Image Label is resulted whether the image contains food or not. ***(future work)*** | Takes the detected Food Image, pre-process the image and returns the food label based on the most probability gained. | Depends mostly on the user profile (calories & nutrition needs). Based on his behavior a set of proper foods/meals are recommended.
+**`Recommendation Model`** | **`Daily Meals Reminder`** | **`Report Generation`**
+Depends mostly on the user profile (e.g. calories) Based on his behavior a set of proper foods/meals are recommended. | Periodically reminds the healthy-life seeker with each meal time. | Generates reports according to the statistics and BMR based on user activities.
+
+### Use Case Scenario
+
+
+
+
+ Careium-AI Use Case Scenario
+
![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)