DeepRoute

DeepRoute provides autonomous safety navigation for underground tunnels where GPS fails. Our system uses local AI to detect hazards and Google Firebase to push real-time mission maps to the surface, ensuring safety teams always know where their assets are.

The Solution: Onboard Logic: Python-based engine simulating sensor perception and autonomous path planning.

Cloud Bridge: Real-time data synchronization via Google Firebase.

Mission Dashboard: Live 2D path visualization and telemetry analysis in Google Colab

Tech Stack Language: Python 3.x

Database: Google Firebase (Real-time Database)

Environment: VS Code (Local) & Google Colab (Cloud)

Libraries: firebase-admin, matplotlib, numpy Setup & Installation

1. Clone the Repo: git clone https://github.com/[your-username]/DeepRoute.git
2. Install Dependencies: pip install firebase-admin matplotlib
3. Configure Firebase: Place your serviceAccountKey.json in the src/ folder.
4. Update the database URL in the script.

How it Works Execution: Run navigation_engine.py to start the local simulation. Sync: The system pushes $(x, y)$ coordinates to Firebase in real-time. Visualization: Open dashboard_viz.ipynb in Google Colab to fetch the live data and render the mission map.

Future Roadmap: Integration with physical LiDAR sensors.3D mesh reconstruction of tunnel environments.Multi-agent fleet coordination.Developed for TechSprint 2026