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๐ŸšŒ Thapar Auto Pooling System AI-Optimized Campus E-Rickshaw Sharing

Solves Thapar's auto-rickshaw problems by smart pooling and AI-powered demand prediction.

๐ŸŒ Live Links

Main Website: https://college-ev-ai-transportation-mxrd.vercel.app/

Student Portal: [Coming Soon]

๐Ÿš€ Features Real-time auto pooling (4-seat optimization)

OTP-based ride verification

Live tracking on campus map

ML-powered demand forecasting

Driver incentive system

๐Ÿ› ๏ธ Tech Stack Component Technology Frontend Next.js, TailwindCSS Backend Firebase, Node.js Maps Google Maps API AI/ML Python (Pandas, Scikit-learn) Deployment Vercel (Web), Render (Backend) ๐Ÿ“ฅ Installation bash

Clone repo

git clone https://github.com//thapar-auto-pooling.git
cd thapar-auto-pooling

Install dependencies

npm install

Run app

npm run dev

About

AI-Optimized Campus E-Rickshaw Sharing Platform Solves Thapar University's transportation chaos by intelligently pooling students into available e-rickshaws using real-time algorithms and AI demand prediction. The system eliminates frustrating wait times while maximizing auto-rickshaw utilization across campus.

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