PreCare AI is a web-based health risk assessment application that estimates potential disease risks based on lifestyle habits, symptoms, and family medical history.
The goal of this project is to promote early health awareness and preventive healthcare using simple AI-based analysis.
- AI-based health risk analysis
- Lifestyle and family medical history evaluation
- Disease risk percentage calculation
- Preventive health recommendations
- Interactive health assistant chatbot
- Simple and user-friendly web interface
- Python
- Streamlit
- Streamlit Chat
- Machine Learning / Rule-based Risk Scoring
- GitHub (Version Control)
- Streamlit Community Cloud (Deployment)
- The user enters health information such as age, diet, physical activity, symptoms, and family medical history.
- The system evaluates these inputs using a health risk scoring algorithm.
- A disease risk percentage is calculated.
- Preventive health recommendations are provided.
- The AI assistant chatbot explains risk factors and provides guidance.
The deployed web application can be accessed here:
https://precare-ai.streamlit.app
This application is developed for educational and health awareness purposes only and should not be considered a substitute for professional medical advice.
This project was developed as part of a group project.
- Lubna (panda-dotcom-code)– UI design, website layout, and frontend structure.
- Abia (@Shecodes012)– Health risk analysis logic and research on disease risk factors.
- Aateka (@aatekaqurratulain-stack)– Testing, documentation, and project support.
All members contributed to the development and improvement of the PreCare AI health risk assessment system.