Saarthi - Carpooling App with Advanced Matching and Real-Time Tracking

Saarthi is a mobile application designed to facilitate seamless carpooling by matching passengers with car owners based on travel routes and timings. The app integrates in-app messaging, payment processing, and real-time tracking for an enhanced user experience.

Overview

Saarthi is a user-friendly carpooling mobile application designed to match passengers with car owners based on their travel routes and timings. The goal was to provide a convenient, eco-friendly, and cost-effective travel solution by optimizing unused vehicle space. Saarthi includes a robust matching function, in-app messaging, secure payment processing, and real-time vehicle tracking, ensuring a seamless carpooling experience for both drivers and passengers.

Key Features

Advanced Matching Function: Developed a custom algorithm that matches car owners with passengers based on shared routes, proximity, and travel schedules, improving the likelihood of successful carpools.
In-App Messaging: Saarthi provides a chat feature that allows users to communicate directly within the app, ensuring easy coordination before and during the carpool.
Payment Processing: Integrated a secure, user-friendly payment system that supports various payment methods, allowing users to split costs automatically.
Real-Time Tracking: Implemented live tracking using GPS to ensure passengers can monitor the driver’s route and estimated time of arrival (ETA), enhancing safety and convenience.
Blockchain for Trust & Transparency: Integrated blockchain technology to ensure transparent and secure transaction logging, building trust between drivers and passengers.

Technologies Used

Flutter & Dart: Used for building the front-end mobile application with a focus on high performance, cross-platform support, and intuitive UI/UX design.
Python: Leveraged for backend services, including the custom matching algorithm and server-side logic.
Blockchain: Utilized blockchain technology to securely store transaction data, ensuring trust and transparency in all carpool arrangements.

Challenges and Learnings

Handling Real-Time Ride Requests: Optimizing concurrent ride-matching while keeping response times under 500ms was a technical hurdle.
Balancing Decentralization & Performance: Blockchain transactions add security but can slow down operations, so layer-2 solutions were explored.
Ensuring GPS Accuracy in Dense Areas: Implemented Kalman Filters to smooth location data and reduce signal noise.

Deep Dive: The Architecture of Saarthi

Architecture & System Design

Saarthi is a full-fledged carpooling ecosystem that combines route optimization, real-time tracking, and blockchain transparency to create a seamless experience for both passengers and drivers.

Client (Flutter + Dart): Ensures a smooth cross-platform mobile experience with an intuitive UI.
Backend (Python + FastAPI): Handles user authentication, ride-matching, payments, and messaging services.
Database (PostgreSQL): Stores user profiles, ride history, and live tracking data efficiently.
Blockchain (Ethereum / Hyperledger Fabric): Securely logs transactions, reviews, and trust scores for carpool participants.

Advanced Route-Matching Algorithm

The core of Saarthi is its AI-powered carpool matching system, which ensures optimal ride-sharing efficiency:

Geospatial Analysis: Uses Haversine Formula and Graph-Based Route Mapping to match users with overlapping travel paths.
Time Sensitivity: Weights ride compatibility based on departure time flexibility, ensuring real-time relevance.
Dynamic Pricing: Uses demand-surge modeling to adjust cost-sharing dynamically based on trip distance and availability.

Blockchain-Powered Trust & Security

Saarthi leverages blockchain to eliminate disputes and fraud in the carpooling process:

Immutable Ride & Payment Logs: Ensures all transactions are tamper-proof.
Decentralized Trust Scores: Users receive trust ratings stored transparently on the blockchain.
Smart Contracts for Payments: Auto-releases fare amounts only after trip completion, eliminating manual disputes.

Real-Time GPS & Safety Mechanisms

The app integrates live GPS tracking to enhance passenger safety & trip coordination:

Mapbox API + WebSocket Integration: Achieves low-latency, real-time tracking.
SOS & Emergency Features: Alerts emergency contacts and authorities in case of unsafe ride conditions.

Conclusion

Saarthi has been a significant step towards solving real-world transportation issues by providing a modern, tech-driven carpooling solution. Its successful implementation of matching algorithms, payment systems, and real-time tracking makes carpooling not only more convenient but also safer and more transparent for users. Saarthi showcases my ability to develop solutions for practical problems while leveraging cutting-edge technologies.