- Execute "npm i" in the project root directory for the very first time
- To start the react server, execute "npm start" in the root project directory. It will run on localhost:3000
- Go to the backend folder
- Execute "npm i" in the /backend folder for the very first time
- To start the express server, execute "npm run devStart" in the /backend folder
- Make sure you have tensorflow, nltk, sklearn and other libraries used in the api.py to be working.
- Download the .h5 file from the link - https://drive.google.com/file/d/1g0X4DIrZE1H2xa5qgXhUT2P5iTZMvL8g/view?usp=sharing (As the file is 50+mb, it couldn't be uploaded to this repo)
- Paste it to /backend folder
- pip install all the modules listed in backend/spam.py folder(eg:tensorflow,nltk etc)
- Realtime schedulable chatrooms or classrooms with video, audio, and a unique class id.
- Real time chat-boxes with a spam filters.
- Attendance system depending on the attentiveness of the listener.
- Secure login systems for faculties and the students.
- A quiz platform to test what is learnt in the class.