A web-based solution to detect diabetes early using machine learning models Integrates a chatbot for user interaction and WhatsApp notifications for results.Why this Project?
Diabetes is a growing global concern, requiring early detection for effective management. Combines technology and healthcare for real-world impact.
Over 400 million people globally suffer from diabetes, many undiagnosed.
Early detection is crucial to prevent complications and reduce healthcare costs.
Goal: Build a user-friendly platform for quick and reliable diabetes detection.
Timely Diagnosis: Enables early detection, reducing risks of severe complications.
User-Friendly Design: Chatbot and WhatsApp notifications ensure accessibility and ease of use.
Scalability: Can expand to detect other diseases and reach global users.
Cost-Effective: Minimizes late-stage healthcare expenses for individuals and systems.
Health Awareness: Empowers users with proactive health management tools.
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Diabetes Detection Healthcare System
Built With
- flask
- mern
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