A Web App which will help students to connect with the counsellers all across the world based on their mental health concerns. Students can share their experiences of mental health issues related to stresss, depression cases as well as other problems and reveal the struggles they are facing in campus We are building a fully furnished capable web site through suitable technologies to address this through the strength of machine learning whose model will recommend right counsellor for the user.
https://incognito-healer.herokuapp.com/
Ppt. link - https://drive.google.com/drive/u/0/folders/1girOE-gX7ZLtgZj9GQ67VAv51RwsFIgc
Demo video link - https://drive.google.com/file/d/1bA2td5DHqXvVHiKRhbvJKzv1K48jSTvx/view?usp=sharing
For the front-end we mainly used
1.HTML/CSS
2.REACT(JS)
For the backend we used :
1.Flask
2.Node.js
3.DialogFlow
We used Mongo DB as the data base in order to store the required data(feedback and Blogs).
1.Recommendation System:With this the student will get to to know whether he needs a counsellor or not.The model was created using MLP and deployed on flask(ModelA.pkl).
2.Melancholy:This is the realtime chat application which enables to replicate a support group system.(Melancholy)
3.WEvolve:This is the blogging website which enables user to see the blogs written by proffesionals as well as people.Blog's Front End is developed using React and for Backend we used Node, while Blogs are stored in MongoDB.(WEvolve)(In WEvolve folder the front end react part is in client folder while the backend part is in our WEvolve folder only)
4.Charlie:The chatbot was developed using Dialogflow.(In Templates/index.html a short snippet code is added in the body tag to integrate the chatbot)
Step 0: Git clone this project
Step 1: cd <local-repository-folder>
Step 2: pip3 install -r requirements.txt
Step3: python app.py
Team Name:404 Not found
Members:
Arjit Vatsa
Anmol Mittal
Annie Jain
S Aditya
Paras Jain