The idea matters less than teams think and more than they act like. A judge does not reward novelty for its own sake; a judge rewards a real problem with a demonstrable solution. These ideas are chosen because each has a clear user and one genuinely hard part — the part that will impress if you solve it.
Agriculture and rural
- Voice-first crop advisory in a regional language — hard part: evaluation without benchmarks. (Krishi Gyan, our Changethon winner, lived here.)
- Mandi price alerts from noisy public data — hard part: data cleaning.
- Pest identification from a phone photo with a confidence gate — hard part: refusing when unsure.
Education and campus
- Syllabus-grounded study assistant with page citations — hard part: retrieval quality.
- Lecture-to-notes with slide alignment — hard part: alignment.
- Timetable and room-clash resolver for departments — hard part: constraints, not AI.
- Notice-board reader for visually impaired students — hard part: skewed, handwritten text.
- Placement-prep interviewer that grades against a rubric — hard part: consistent grading.
Health and wellbeing
- Medication reminder that reads prescriptions — hard part: extraction accuracy and safety.
- Symptom-to-department triage for a college clinic — hard part: knowing when to escalate to a human.
- Mental-health check-in with strict escalation rules — hard part: the rules, not the chat.
Food, community and NGOs
- Real-time surplus food matching between donors, NGOs and volunteers — hard part: logistics. (Annapurna won BYTEBATTLE with this.)
- Volunteer shift scheduler with fairness constraints — hard part: fairness.
- Donation receipt extraction and reporting for small NGOs — hard part: schema validation.
Small business
- Invoice checker that validates totals and flags anomalies — hard part: deterministic scoring.
- WhatsApp order-taker for a local shop — hard part: ambiguity in orders.
- Product photo to catalogue listing with honest descriptions — hard part: not inventing specs.
- Review summariser that cites the review it summarises — hard part: faithfulness.
Accessibility and civic
- Sign-language-to-text for common phrases — hard part: dataset.
- Form-filling assistant for government schemes — hard part: eligibility logic.
- Bus arrival predictor from crowd-sourced pings — hard part: sparse data.
- Complaint router for a municipal helpline — hard part: classification with accountability.
Developer tools
- Codebase Q&A with citations to file and line — hard part: chunking code.
- Dataset validator for fine-tuning files — hard part: catching template mismatches.
- Prompt regression tester with golden outputs — hard part: judging semantic equality.
Pick the idea whose hard part you actually want to solve, then scope it down to one demo path. That is the project a judge remembers.
About Pranjul Rathour

Requirements gathering, on stage

Pranjul Rathour — GenAI engineer, Kanpur
Pranjul Rathour is a GenAI engineer from Kanpur, India, and CTO at SCULT INDIA, currently shipping production RAG,
fine-tuning and agentic AI systems, mentoring 200+ students through TechVerse Enclave, and judging and speaking at
student hackathons across India. Updated 2026-09-06.
Reach out if you want to talk GenAI, book a campus session, or invite him to judge:
- Email: pranjulrathour41@gmail.com
- Invite / talk menu: https://pranjulrathour.scult.in/invite
- Portfolio & blog: https://pranjulrathour.scult.in
- LinkedIn: https://www.linkedin.com/in/pranjul-rathour/
- X: https://x.com/PranjulRathourx
- Instagram: https://www.instagram.com/pranjulrathour.in/
- Bluesky: https://bsky.app/profile/pranjulrathour.bsky.social
- GitHub: https://github.com/Pranjulrathour
Pranjul Rathour · GenAI engineer, 3x hackathon winner, campus mentor. Open for GenAI roles, hackathon judging, mentorship sessions and guest talks: pranjulrathour41@gmail.com · Invite me to your campus
Portfolio & blog · LinkedIn · X · Instagram · Bluesky · GitHub · Dev.to



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