Readme Updated

Author: MBSA-INFINITY

MachineLearning Projects/Emotion Detector using Google's Teachable ML/README.md

@@ -2,34 +2,34 @@
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-# Instragam Profile Scraper in Flask
+# Realtime Emotion Detector using Python (Google's Teachable Machine Learning)
 
 ## 🛠️ Description
-This project is about developing a an API in **Flask** using **Instaloader** and **Instagram's GraphQL API's** to scrape the no of likes and comments of all of the post of a public instagram profile.
+This project is about developing a system that can detect the emotions of a person in realtime from the video on the basis of a pre-trained **keras** model. This model was trained using Google's [Teachable Machine Learning](https://teachablemachine.withgoogle.com/). 
+
+The project can detect the following emotions:- 
+**Angry**, **Happy**, **Sad**, **Smile**, **Surprise**
+
 
 ## ⚙️ Languages or Frameworks Used
- - Flask
- - Instaloader, Instgram GraphQL APIs
+ - Python, Mediapipe, Keras
+ - Teachable Machine Learning (For model training)
 
 
 ## 🌟 How to run
  - ### Install all the requirements
     Run `pip install -r requirements.txt` to install all the requirements.
 
--  ###  Now Just, Run the project
-    - To the run the project, go to the `bash` terminal of VSCode or any other code editor and run `./start_server.sh`.
-    - The server would start running on `http://127.0.0.1:{port_number}`.(generally http://127.0.0.1:5000)
+-  ###  Run the project
+    To the run the project, go to the terminal and run `python main.py`. This will popup two windows, one for capturing the `video input` and the other for displyaing the `emotion output.`
 
- - ### Explore the API
-    Go to the browser/postman/thunderclient and hit the following URL http://127.0.0.1:5000/get_profile/{instagram_username}
- > Note: The Instagram Profile must be **public**.
+ > Note: The Model (.h5 file) has been trained using the Teachable Machine Learning which is an esay to use ML Training Platform by **Google**. Do checkout that platform.
 
 
 ## 📺 Demo
-- Main screen of the application.
-![image](https://github.com/MBSA-INFINITY/Python-project-Scripts/assets/85332648/0b57f8f5-aa8a-416e-9fad-e86c4e416e33)
-- Result for my instagram account (**@mbsaiaditya**).
-![image](https://github.com/MBSA-INFINITY/Python-project-Scripts/assets/85332648/2069060a-9fdf-4877-aadc-e708e5505e60)
+Do checkout the Below Video for Demo of the Project.
+
+[Youtube Link](https://youtu.be/ER4avLksQfU)
 
 ## 🤖 Author
 Github - [MBSA-INFINITY](https://github.com/MBSA-INFINITY)