docs: Add Existing Similar Systems Comparison in Background Section

README.md

@@ -61,6 +61,8 @@ for each mealtime.
         <li><a href="#paper-1-food-detection-and-recognition-using-cnn--1">Paper 1: Food Detection and Recognition using CNN</a></li>
         <li><a href="#paper-2-food-recognition---new-dataset-experiments-and-results--2">Paper 2: Food Recognition - New Dataset, Experiments and Results</a></li>
         <li><a href="#paper-3-deep-learning-based-food-calorie-estimation-method-in-dietary-assessment--3">Paper 3: DL-Based Food Calorie Estimation</a></li>
+        <li><a href="#survey-of-the-work">Survey of the Work</a></li>
+        <li><a href="#description-of-existing-similar-systems">Description of Existing Similar Systems</a></li>
       </ul>
     </li>
     <li><a href="#-architecture"> ➤ Architecture</a></li>
@@ -148,6 +150,27 @@ how the idea we are on motivated the common people.
   </tr>
 </table>
 
+<!-- BACKGROUND: CAREIUM COMPARISON WITH THE EXISTING APPLICATIONS-->
+#### Description of Existing Similar Systems
+- HealthifyMe <a href="#--4-healthifyme-related-existing-application--last-accessed-on-03-2022">[4]</a> </br>
+&nbsp; &nbsp; &nbsp; &nbsp; A mobile application that provides smart meal plans, Customized
+workout plans with certified fitness coaches, and Tracks daily calorie
+intake, weight goals, and workouts. Sleep monitoring, meal journal & step
+counter. Health advice recipes, and a daily dose of motivation for fitness
+goals through fresh content on the app's feed.
+
+- MyFitnessPal <a href="#--5-myfitnesspal-related-existing-application--last-accessed-on-05-2022">[5]</a> </br>
+&nbsp; &nbsp; &nbsp; &nbsp; A mobile application that gives accurate nutrition facts for over 
+14 million foods. Easily log everything eaten to the food diary. Engaged
+online community of 200 million members. 250+ healthy recipes. 
+150+ workouts keep routines fresh and fun. Logging Food by scanning a barcode.
+
+<p align="center">
+  <img src="https://user-images.githubusercontent.com/48348589/187941549-1cebbb9f-ab52-4d8e-9e0e-a3df6326ba44.png"/>
+  <br/> 
+  <i>Existing Systems Comparison</i>
+</p>
+
 ![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)
 
 ## 📐 Architecture
@@ -199,6 +222,8 @@ Credits and Thanks go to these wonderful people ([emoji key](https://allcontribu
 ##### &nbsp; &nbsp; [1] <a href="https://dl.acm.org/doi/abs/10.1145/2647868.2654970"> Food Detection and Recognition using CNN, Author: Hokuto Kagaya, Nov 22, 2014</a> <i>(Last Accessed on 11-2021)</i>
 ##### &nbsp; &nbsp; [2] <a href="https://paperswithcode.com/paper/nu-innet-thai-food-image-recognition-using"> Food Recognition using InNet Model, author: Chakkrit Termritthikun, Aug 01, 2017</a> <i>(Last Accessed on 11-2021)</i>
 ##### &nbsp; &nbsp; [3] <a href="https://ieeexplore.ieee.org/document/9397023"> Food Calories Estimation Using Machine Learning, author: Vishakha A. Metre Apr 09, 2021</a> <i>(Last Accessed on 12-2021)</i>
+##### &nbsp; &nbsp; [4] <a href="https://play.google.com/store/apps/details?id=com.healthifyme.basic&hl=en&gl=US">HealthifyMe: related existing application </a> <i>(Last Accessed on 03-2022)</i>
+##### &nbsp; &nbsp; [5] <a href="https://www.myfitnesspal.com/">Myfitnesspal: related existing application </a> <i>(Last Accessed on 05-2022)</i>
 
 <!-- ANOTHER WAY FOR REFERENCES SECTION -->
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