MedRep AI

Inspiration

India has over 5 lakh pharmaceutical medical representatives who struggle daily with manual paperwork, last-minute doctor visit prep, and tracking targets on spreadsheets. We saw a real opportunity to build an AI-powered tool that solves these everyday pain points — especially since pharma marketing in India is highly relationship-driven and reps only get 60 seconds with a doctor.

What it does

MedRep AI is a mobile-friendly CRM for Indian pharma reps with 4 core modules:

1. Doctor CRM — manage doctor profiles, specialties, hospitals and visit history
2. Daily Call Report (DCR) — log visits, samples given, doctor feedback and follow-up dates
3. AI Pitch Coach — enter a doctor's specialty and medicine name, get a tailored 60-second pitch script with UCPMP compliance reminder
4. Target Tracker Dashboard — see daily visits completed vs target, samples distributed, and pending follow-ups ## How we built it We built MedRep AI entirely using MeDo by describing the app in natural language. MeDo generated the full stack application with Supabase handling persistent data storage. The AI Pitch Coach is powered by Groq's LLaMA 3.3 70B model, which generates India-specific pharmaceutical pitch scripts in real time. No manual coding was required. ## Challenges we ran into The AI Pitch Coach initially used hardcoded mock data instead of a real AI API. We also faced an issue where the generated pitch script would disappear immediately after being displayed. Both were fixed by prompting MeDo to implement proper API integration with Groq and persistent state management on the frontend. ## Accomplishments that we're proud of We are proud that the AI Pitch Coach generates genuinely useful, India-specific pitch scripts that reference real therapy areas like hypertension and diabetes, mention comorbidities common in Indian patients, and include a UCPMP compliance reminder — making it practically useful for real pharma reps in the field. ## What we learned We learned how powerful MeDo is for turning a real-world problem into a working full-stack app without writing a single line of code. We also learned a lot about the daily challenges faced by Indian medical representatives — from manual DCR filing to intense competition at doctor clinics. ## What's next for MedRep AI Next steps include adding push notifications for follow-up reminders, PDF export of DCR reports, multi-user support for sales teams, offline mode for areas with poor connectivity, and analytics dashboard showing monthly performance trends — all critical features for real-world pharma field use in India.

Built With

• groq
• javascript
• llama-3.3-70b
• medo
• supabase