VITRide
A carpooling application prototype for university students, built with a Flutter front end and integrating an H3-style spatial index and the Gemma language model for preference parsing.
Timeline (last 90 days)
VITRide is a carpooling prototype for VIT Pune students that builds a complete ride-hailing flow in Flutter, but nearby vehicles are synthetic, and there is no backend, real-time dispatch, student identity verification, or actual ride-sharing matching.
VITRide was submitted by developer @parthlightning in the Hacktoberfest Open Source AI Challenge.
VITRide demonstrates the main ride-hailing flow: selecting a destination, previewing the route, comparing vehicle types and estimated fares, viewing nearby vehicles, and initiating a ride request.
VITRide implements an H3-style spatial index in pure Dart, with an optional map grid overlay visualization.
In VITRide, the route geometry, vehicle positions, traffic condition segments, fares, dynamic surcharges and driver information are all illustrative data and should not be used as real information.
In VITRide's conception, Gemma is responsible for parsing natural language preferences into structured parameters (such as departure time windows and maximum detour ratio), while matching and dispatch are decided by a deterministic service independent of the language model according to rules such as location, route overlap, time and seats.
VITRide's developers plan to replace simulated allocation with a real backend in the next stage, managing students, available trips, routes, departure times and seat counts, and building a deterministic matching service.
All Facts (7)
VITRide is a carpooling prototype for VIT Pune students that builds a complete ride-hailing flow in Flutter, but nearby vehicles are synthetic, and there is no backend, real-time dispatch, student identity verification, or actual ride-sharing matching.
50%UnverifiedVITRide was submitted by developer @parthlightning in the Hacktoberfest Open Source AI Challenge.
50%UnverifiedVITRide demonstrates the main ride-hailing flow: selecting a destination, previewing the route, comparing vehicle types and estimated fares, viewing nearby vehicles, and initiating a ride request.
50%UnverifiedVITRide implements an H3-style spatial index in pure Dart, with an optional map grid overlay visualization.
50%UnverifiedIn VITRide, the route geometry, vehicle positions, traffic condition segments, fares, dynamic surcharges and driver information are all illustrative data and should not be used as real information.
50%UnverifiedIn VITRide's conception, Gemma is responsible for parsing natural language preferences into structured parameters (such as departure time windows and maximum detour ratio), while matching and dispatch are decided by a deterministic service independent of the language model according to rules such as location, route overlap, time and seats.
50%UnverifiedVITRide's developers plan to replace simulated allocation with a real backend in the next stage, managing students, available trips, routes, departure times and seat counts, and building a deterministic matching service.
50%