PITCH. BUILD.
PROVE YOUR IDEA.
From AI Healthcare to accessibility — pitch, build, and prove your startup idea.
Why the Startup Expo Works
Four principles behind every problem statement in this arena.
Cross-domain
Spans HealthTech, FinTech, B2B AI SaaS, ClimateTech, and Smart Mobility in one expo.
Investor-ready pitches
Teams present a working demo plus a real business case, not just code.
Scalable difficulty
Works as a simple MVP for beginners or a fundable startup for advanced teams.
Real-world relevance
Every idea maps to an active market or government funding opportunity.
What Teams Walk Away With
Five startup tracks teams can build inside across the expo.
HealthTech & MedTech AI
AI diagnostics, triage & hospital workflow automation.
FinTech & Smart Retail
Micro-merchant POS automation & stock market analytics.
B2B Enterprise SaaS & AI
RAG document intelligence & developer workflow agents.
AgriTech & ClimateTech
Crop yield prediction & green cloud energy optimization.
Smart Mobility & Consumer Tech
Spatial fleet dispatch, campus ERP & streaming systems.
Who Can Participate
Standard eligibility rules for the Startup & Innovation Expo.
Academic Level
Open to all B.Tech students, any branch, any year of study.
Team Size
Maximum 5 members per team; solo entries are also welcome.
Project Choice
Pick one of our 5 official startup problem statements, or propose your own project.
Build Deadline
Fully working project must be ready before 30th August.
Registration
One-time team registration through our official website.
Institution
Pan India eligible.
Prize Tiers
Prize tiers reward working MVPs and strong pitches at every stage.
From Sign-Up to the Final Showdown
How every team moves through Techfest.
Team Registration
Register your team of up to 5 on our website.
Choose Your Project
Pick one of our 5 problem statements.
Submit Elimination PPT
Upload a 10-slide PPT at the time of registration.
PPT Evaluation
Judges review every submitted presentation.
Qualify / Disqualify
Results announced on our website before 30th Aug.
Final Round · 30th Aug
Present full project + PPT live; winners chosen.
Presentation-Only Evaluation
Judged purely on your submitted presentation — no prototype required at this stage.
10-Slide PPT Only
Submitted at the time of registration, no hardware needed yet — format of PPT will be shared.
Problem
Clearly explain the problem statement and your proposed solution.
Feasibility
Can this realistically be built and completed by 30th August.
Team Plan
Clear role division across your team of up to 5 members.
Result
Qualify or disqualify announced on our website before 30th Aug.
Evaluation Criteria
How your live project is scored on final day.
Innovation & Novelty
Uniqueness of the solution, intellectual depth of the AI/tech model, and divergence from existing common market alternatives.
Technical Execution
Robustness of the working demo, code architecture, integration of required data models, and stability under testing scenarios.
Business Viability
Market scalability, identification of active funding pathways, and validity of the business model presentation over pure code.
Choose Your Challenge
Pick one of our 5 official startup problem statements, or propose your own.
AI-Powered Rural Diagnostic & Patient Triage Platform
Diagnostic AI screeners and clinic SaaS networks for hospitals, clinics and telehealth providers.
Description
- Problem: Rural areas lack access to specialist doctors.
- Example: AI skin disease detection smartphone app.
- Example: Automated X-ray bone fracture detection tool.
- Example: Smart hospital queue and patient triage system.
- Covered Artifacts: ML Guide & Hospital Management Apps.
- Focus: Diagnostic AI screeners and clinic SaaS networks.
Deliverables
- Working medical image classifier or triage demo.
- Diagnostic safety and non-clinical disclaimer plan.
- System architecture and diagnostic pipeline diagram.
- HIPAA and patient data privacy plan.
- Target customer definition (hospitals, clinics, telehealth).
- Pitch covering healthcare SaaS model and market.
Micro-Merchant Inventory, POS Billing & Retail Analytics
Retail automation, POS billing, and stock analytics for kirana stores and retail merchants.
Description
- Problem: Micro-merchants struggle with manual stock & billing.
- Example: Kirana store inventory & POS billing app.
- Example: AI-based stock price prediction learning dashboard.
- Example: High-scalability retail e-commerce platform database.
- Covered Artifacts: Kirana Systems & Financial Literacy Apps.
- Focus: Retail automation, POS billing, and stock analytics.
Deliverables
- Working retail POS or stock prediction demo.
- Database schema and inventory transaction audit log.
- System architecture and payment flow diagram.
- Target customer definition (kirana stores, retail merchants).
- Financial risk disclaimer and compliance plan.
- Pitch covering revenue model and credit scoring.
Enterprise Workflow Automation, Document Analysis & RAG AI Agents
Enterprise workflow automation and RAG AI agents for corporate legal, HR and dev teams.
Description
- Problem: Enterprises waste hours analyzing unstructured PDFs & code.
- Example: RAG-powered document Q&A (Chat with PDF).
- Example: Automated AI code reviewer and bug detector.
- Example: AI resume analyzer and skill gap scorer.
- Covered Artifacts: DevOps Brief, SE, and YC Proposals.
- Focus: Enterprise workflow automation and RAG AI agents.
Deliverables
- Working RAG document Q&A or code reviewer demo.
- Vector DB and LLM pipeline architecture diagram.
- Enterprise security and secret key handling plan.
- Target customer definition (corporate legal, HR, dev teams).
- Data privacy and corporate security compliance plan.
- Pitch covering SaaS seat-based pricing model.
Precision Agriculture & Sustainable Computing Platform
Precision agriculture and green cloud computing for farmers, agri-cooperatives and cloud managers.
Description
- Problem: Unpredictable climate causes crop loss; AI uses high energy.
- Example: ML crop yield prediction and farming dashboard.
- Example: Cloud cost calculation & energy token optimizer.
- Example: Vector calculus optimization for AI model data flow.
- Covered Artifacts: ML Crop Yield & Sustainable Energy.
- Focus: Precision agriculture and green cloud computing.
Deliverables
- Working crop yield predictor or cloud energy demo.
- Analytical dataset and model evaluation metrics report.
- System architecture and IoT data flow diagram.
- Target customer definition (farmers, agri-cooperatives, cloud managers).
- Environmental impact and ESG compliance report.
- Pitch covering ESG grant alignment and commercial viability.
Spatial Fleet Dispatch, Smart Campus & Consumer Tech Platform
Spatial fleet dispatching and smart campus solutions for commuters, fleet operators and universities.
Description
- Problem: Urban traffic congestion causes fuel waste and delays.
- Example: Real-time spatial ride-sharing platform (Uber-like).
- Example: Integrated smart college ERP campus portal.
- Example: Movie streaming database & SVG graphics engine.
- Covered Artifacts: Ride-Sharing DB, College ERP, & Netflix DB.
- Focus: Spatial fleet dispatching and smart campus solutions.
Deliverables
- Working spatial ride dispatcher or campus ERP demo.
- Real-time spatial indexing and database schema design.
- System architecture and dispatch flow diagram.
- Target customer definition (commuters, fleet operators, universities).
- User data privacy and latency performance benchmarks.
- Pitch covering market differentiation and expansion strategy.
Ready for Takeoff
Choose your idea, build your MVP, and pitch with confidence. Questions • Discussion • Team Formation.