Create README.md

README.md

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+# emotion_detector
+An End to End Python Web App using Flask to Predict Emotions with Natural Language Processing
+
+![image](https://user-images.githubusercontent.com/73159496/202917018-ff0221c2-50d6-4524-8ab7-93ae19c17787.png)
+
+# Table of Contents
+
+1. [Objective](#Objective)
+2. [Ml_algo](#Ml_algo)
+3. [Backend](#Backend)
+4. [Frontend](#Frontend)
+
+
+
+## Objective
+I want to create an app where user can write his/her diary and analyze thier emotions with the help of sentiment analysis algorithm.
+
+## Ml_algo
+-I have developed emotion detection model using TFIDF  vectorization method .
+ used word2vec and doc 2 vec too but  got more accuracy with TFIDF vectorizer.
+
+TFIDF  vectorizer is easy to use method 
+https://towardsdatascience.com/natural-language-processing-feature-engineering-using-tf-idf-e8b9d00e7e76
+
+Removed  stop words  using NLTK  and cleaned text before vectorizing the text.
+Used Random forest classification as it is good at large data sets.
+
+## Backend
+I’ve used Flask  to develop the  web app. And chose SQLITE as database connecting method as  I’m restricting maximum no of users .
+Created Two tables login and diary for data storage  and created triggers to keep both tables in sync
+
+## Frontend
+I’ve created js file along with html to run various functions within the page .
+
+
+Below figure is the working  design of this app
+
+![HLD for emotion detector](https://user-images.githubusercontent.com/73159496/202917105-93d1f227-7fc2-40a8-9cdd-b3285dd39a26.jpg)
+
+
+When user enters the home page of the app, they can go to different links(home.html)
+
+![image](https://user-images.githubusercontent.com/73159496/202916989-85d2fc89-a8c4-4d78-b5e1-df0fe1aa8321.png)
+
+
+User can go to login page to either login or register and login to the profile page .
+Here login.html calls  login python func (app.py)for authentication 
+
+![image](https://user-images.githubusercontent.com/73159496/202917010-20b4249a-ac28-4cb0-b5bc-721cfd8677d0.png)
+
+
+
+
+User can add , edit , delete notes in their diary and app creates the  feelings pie chart 
+Updates the user data through app.py in database.db
+
+
+![image](https://user-images.githubusercontent.com/73159496/202917018-ff0221c2-50d6-4524-8ab7-93ae19c17787.png)