Sanjeevani

Describe your symptoms and receive possible conditions with matching suggestions and precautions.
Search over 11,000 medicines by name or composition to view uses, side effects, manufacturers, and user reviews.
Locate hospitals, clinics, pharmacies, and doctors near any location using live map data.
Explore condition-based nutrition plans with simple diet recommendations for heart health, diabetes, hypertension, and more.
Track your medicines, manage daily doses, and review your medication history in one place.
Ask health questions in plain English and get real-time AI-powered guidance for general health information.

Inspiration

Finding trustworthy health information online is surprisingly difficult. A simple search often returns articles that are either too technical, filled with advertisements, or focused on selling products instead of helping people.

I wanted to build a single place where someone could quickly look up medicines, understand common symptoms, find nearby healthcare facilities, manage daily medications, and ask general health questions without jumping across multiple websites.

That idea became Sanjeevani, a personal health companion designed to make reliable health information easier to access.

What it does

Sanjeevani brings together several healthcare tools into one web application.

Users can:

Check possible conditions based on symptoms
Search more than 11,000 medicines by name or composition
View medicine uses, side effects, manufacturers, and user reviews
Find nearby hospitals, pharmacies, clinics, and doctors using live map data
Get simple nutrition guidance for common health conditions
Set medication reminders and track daily doses
Chat with an AI health assistant for quick, general health guidance

Instead of opening five different websites, everything is available in one place.

How we built it

The project was built as a full-stack Flask application.

The backend manages medicine data, symptom analysis, reminder management, AI integration, and map services. The frontend focuses on keeping the interface clean and easy to use, even for people who are not familiar with medical terminology.

Some of the main components include:

Flask for the backend
SQLite for structured data storage
Jinja templates for server-side rendering
HTML, CSS and JavaScript for the frontend
OpenStreetMap data for nearby healthcare resources
AI integration for the health assistant
A medicine database containing over 11,000 medicines

The application is organized into independent modules so each feature can evolve without affecting the others.

Challenges we ran into

The biggest challenge was bringing several healthcare tools together while keeping the experience simple.

Some of the problems included:

Cleaning and organizing a large medicine database
Making medicine search fast and accurate
Designing a symptom checker that produces meaningful matches
Keeping the interface clean despite having many features
Integrating AI responses without overwhelming users
Managing multiple Flask routes and keeping the project structure maintainable

Finding the right balance between functionality and simplicity took the most time.

Accomplishments that we're proud of

Some highlights of the project include:

A searchable database of more than 11,000 medicines
Six integrated healthcare tools in a single application
A clean and modern interface designed for everyday users
AI-powered health assistance
Nearby healthcare resource finder using live map data
Medication reminder system
Responsive design that works well across devices

What we learned

Building Sanjeevani taught us that healthcare applications require much more than good UI.

We learned how to organize large datasets, structure a Flask project for scalability, integrate multiple services into one application, and design interfaces that simplify complex medical information without making the experience confusing.

We also gained experience in balancing performance, usability, and maintainability as the project grew.