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EcoRide Deployment Progress Report

This document outlines the current state, recent updates, and deployment status of the EcoRide intelligent ride-sharing system.

🚀 Overview of Architecture

The system is distributed across three main environments:

  1. Backend (REST API & WebSockets): Hosted on Vercel.
  2. ML & Routing Service (OSMnx + Models): Hosted on Render.
  3. Frontend (Cross-platform App): Flutter-based mobile and web client.

✅ Recent Deployment Milestones

1. Driver Ride Flow Implementation (LIVE)

  • Status: Fully Deployed and Verified.
  • Features:
    • Real-time navigation phases (To Pickup, At Pickup, In Trip).
    • 4-digit OTP verification for secure ride starts.
    • "Arrived at Pickup" status updates with automatic rider notifications.
    • "Track Ride" functionality from history for both riders and drivers.

2. ML Routing & Shortest Path (LIVE)

  • Status: Active with Road-Following Accuracy.
  • Updates:
    • Fixed 500/502 errors previously seen on Render.
    • Implemented Penalty-based k-shortest path algorithm for faster road-following alternatives.
    • Optimized for Render's free tier (512MB RAM) using lazy imports and OSMnx caching.

3. Database Schema Synchronisation (SUCCESS)

  • Action: Triggered manual migration on production via /api/migrate.
  • Changes:
    • Updated rides table with otp, pickup_lat/lng, and dropoff_lat/lng column.
    • Updated check constraints for ride status (Arrived, PickedUp).
    • Ensured carpools and downloaded_maps tables are ready.

🏥 Service Health Checks

Verified as of March 11, 2026:

Service Host Status Health Endpoint
Backend API Vercel 🟢 Operational /health
ML/Routing Render 🟢 Operational /health
Database Supabase/Postgres 🟢 Connected Verified via Backend

🛠️ Configuration & Environment

The apps are configured to automatically use production URLs:

  • Backend URL: https://backend-two-sigma-39.vercel.app
  • ML Service URL: https://ecoride-ml.onrender.com

📋 Next Steps

  1. Rider Live Tracking: Enhancing the rider's view to see the driver's current position on the map in real-time.
  2. Payment Processing: Moving from mock wallet deductions to real payment gateway integration.
  3. Analytics & Heatmaps: Deploying the driver's "Demand Heat Map" based on historical ride density data.

Report generated by Antigravity AI