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CampusNav AI: Smart Campus Navigation Engine

CampusNav AI is an interactive, full-stack campus navigation system built to resolve orientation challenges across complex university grounds. While commercial navigation systems stop at outer boundary gates, CampusNav AI provides micro-level indoor and outdoor positioning for specific lecture halls (CS 1, CS 2, CS 3), administrative chambers, departmental research laboratories, and student amenities.

Core Objectives:

Micro-Navigation on Campus: Eliminates confusion for freshers, visiting faculty, and event guests by pinpointing precise indoor rooms and facility blocks. Real-Time Algorithmic Routing: Uses a graph-based pathfinding engine (Dijkstra’s algorithm) to compute optimal paths and display turn-by-turn guidance. Zero-Cost Scalability: Uses free, community-driven OpenStreetMap tiles, removing third-party mapping API key dependencies and usage limits.

Key Capabilities:

Interactive Geo-Canvas: Renders high-resolution map tiles centered on local campus boundaries with color-coded markers categorized into Labs, Classrooms, Offices, and Amenities. Route Planner: Features searchable departure and arrival selectors that render real-time connecting polylines across college paths. Turn-by-Turn Wayfinding: Generates sequential transition cards showing pathway directions, floor changes, and milestone landmarks. Preset Popular Routes: Quick shortcuts for high-traffic corridors like Main Gate to CS Classrooms or Academic Wings to the Central Canteen. Dynamic Node Administration: An in-app registration modal (+ Add Node) enabling staff to add newly constructed rooms, checkpoints, or facilities on the fly.

Built with

reacttailwindcsslucide-reactleaflet.jsopenstreetmapnode.jsexpress.jssqliteantigravity

Prize Categories Entered

  • DigitalOcean

    Best Open-Source AI Project

    Submitted