Wellness Wise

Wellness Wise – an AI driven web application designed to help users monitor, understand, and improve their mental and physical well being through personalized insights and community support.

Features Announcement -

1. Personalized Health Recommendation

Based on User diets and habbits , suggest mood, sleep, meal, activity response. Use sentiment analysis on mood logs to identify trends.

2. Health Goal

A section where user can track his/ her progress , as they set their goals and check their number of continuous streak.

3. AI ChatBox

Implement a chatBox which can suggest health realted questions, provide motivational support.

4. Health Tips

Builds a system using google youtube API which provides you a motivational videos related to health, meditation, yoga, nutrition, exercises .

5. Community section

Provide a platform using nodejs Backend where users can post, comment, and like responses.

PPTX link :

https://drive.google.com/file/d/1jDYqHxROlVpYknaJ8LTaAGFMD6GGrfXL/view?usp=sharing

Tech Stack Used :

React js , Node js , Express js , Mongodb , Machine Learning , Bootstrap , Tailwind .

Video Link :

https://drive.google.com/file/d/1LhxO7a5kWl311F8hOAXbrcNWKGUcpBwl/view?usp=drivesdk

Team Members :

Leader : Yash Pandey ( 20222068, Chemical Engineering)

Member 1 : Harshit Pandey ( 20220024, Biotechnolgy Engineering)

Member 2 : Lakshit Rajput ( 20220030, Electronics & Communication Engineering)

Member 3 : Gurmeet Singh Rathor ( 20222025, Chemical Engineering)

To start frontend

• cd client/
• npm i
• npm start

To start backend

• cd server
• npm i
• npm start

To start ML

• cd server/src/ml
• source env/Scripts/activate
• pip install flask numpy pandas datetime textblob scikit-learn
• py pattern_detection.py or python pattern_detection.py