Inspiration
Healthcare affordability remains a silent challenge for millions of people. Many patients unknowingly pay higher prices for branded medicines, even when cheaper alternatives with the same composition are available. This gap in awareness, especially among everyday users, leads to unnecessary financial burden over time.
The idea for *GenMed * was inspired by this real-world inefficiency — not the lack of medicines, but the lack of price transparency and decision support. We wanted to build a solution that empowers users at the exact moment they make a purchase decision, without requiring deep medical or technical knowledge.
What it does
GenMed is an AI-powered medicine affordability assistant that helps users:
- Analyze prescriptions or manually entered medicines
- Identify the active composition of medicines
- Find cheaper alternative brands with the same composition
- Highlight the lowest-cost option
- Calculate per purchase, monthly, and yearly savings
- Provide smart guidance on what to ask pharmacists
- Help users locate nearby medical stores via Google Maps integration
The app bridges the gap between medical prescriptions and informed purchasing decisions, making healthcare more accessible and cost-efficient.
How we built it
We built GenMed as a frontend-focused web application with a strong emphasis on usability and real-world practicality.
Core Logic: A structured dataset of common Indian medicines grouped by composition was used to match user input with equivalent alternatives.
AI Layer: Basic NLP techniques and rule-based matching were used to:
- Identify medicine names
- Map them to compositions
- Suggest alternatives intelligently
UI/UX: Designed a modern, clean interface with:
- Comparison cards
- Savings highlights
- Smart prompts for user interaction
Additional Features:
- Prescription upload (simulated OCR)
- Local storage for history
- Google Maps redirection for nearby pharmacies
The focus was on building a fully functional, demo-ready prototype that feels like a real product.
Challenges we ran into
Lack of real-time medicine pricing APIs: Reliable public APIs for Indian medicine pricing are not easily accessible, so we had to design a realistic dataset and logic system.
Handling multiple medicine formats: Users may input medicines in different ways (brand names, compositions, incomplete names), which required flexible matching logic.
Balancing realism with feasibility: We had to ensure the app feels practical without overpromising features like real-time stock availability.
Integration issues with maps: Embedding maps caused security restrictions, so we redesigned the feature using safe external redirection.
Accomplishments that we're proud of
- Built a fully working prototype that solves a real-world problem
- Created a system that provides actionable insights, not just information
- Designed an interface that feels like a production-ready startup product
- Successfully demonstrated end-to-end flow from prescription to savings
- Focused on user empowerment, not just data display
What we learned
- Real-world problems are often not about lack of resources, but lack of accessible information
- Simplicity and clarity in UX are more impactful than complex features
- AI doesn’t always need to be heavy — even lightweight intelligent logic can create strong value
- Building for real users requires thinking beyond code, into behavior and decision-making
What's next for GenMed
We see strong potential to evolve GenMed into a scalable solution:
- Integrate real-time pharmacy APIs for accurate pricing and availability
- Expand the dataset to include more medicines and regional variations
- Add multilingual support for wider accessibility
- Enable doctor and pharmacy collaboration features
- Introduce personalized medicine savings tracking
Our long-term vision is to make GenMed a trusted companion for affordable healthcare decisions, ensuring that no one overpays simply due to lack of awareness.
Built With
- basic-nlp-logic
- css
- custom-medicine-dataset
- github
- google-maps-integration
- html
- javascript
- local-storage
- lovable-ai
- react
- tailwind-css
- vite
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