Team Name: INYA-AI
College: Vidyavardhaka College of Engineering, Mysuru, Karnataka
Problem Statement: Solving Peak-Hour Demand Imbalance and Reducing Ride Denials
Our AI-Driven Dynamic Ride Optimization System ensures seamless availability, fair pricing, and optimized routes. We integrate local drivers' insights—via voice messages, photos, and surveys—to enhance navigation and assist onboarding.
Key challenges addressed:
- Ride denials
- Surge pricing
- Emergency travel prioritization
- Route inefficiencies
Unlike traditional platforms, we incentivize drivers with:
- Cost reductions
- Priority access for emergencies
- Pre-booking for hospital visits, job interviews, and critical travel
- ✅ Emergency Ride Priority & Safety – Allocates rides for users in unsafe areas or critical situations
- 🧭 Smart Ride Matching & Route Optimization – Matches passengers with nearby drivers using shortest-path algorithms
- 🕒 Pre-Booking Support – Allows early booking for medical visits, interviews, and essential errands
- 🎯 Driver Rewards & Gamification – Streak-based incentives to reduce ride denials
- 🗺️ Community Insights Integration – Collects local driver feedback to improve real-time decisions
| Layer | Tools & Technologies |
|---|---|
| Frontend | Flutter, HTML, CSS, JavaScript |
| Backend | Firebase, Python APIs ,geotag images |
| Integration | Real-time data sync, Voice/Photo input modules |
| AI Models | Demand prediction, adaptive pricing, ride matching |
Full flow: From user authentication and emergency booking to shortest-path driver selection, rewards scheduling, and data-driven optimization.
According to the National Consumer Helpline (NCH), Ola and Uber received over 3,252 complaints between April 2021 and May 2022.
Our system addresses these pain points by:
- ✨ Auto-booking without external platforms
- 🚦 Optimized shortest-path routing, even in traffic or emergencies
- 🔒 Emergency prioritization and secure, data-informed ride experiences
This project is licensed under the terms of the Apache License 2.0. See the LICENSE file for details.