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Service Hub

This project is a Cycle Renting and Tracking System integrated with an authentication system and a Generative AI model for personalized user experiences. It allows users to rent cycles from multiple locations, track their rides, and get AI-powered suggestions based on their riding patterns and preferences.

The system provides real-time tracking, user authentication, cycle availability insights, and personalized AI recommendations, making it a modern solution for cycle rental services in urban settings.

Features

User Authentication: Secure sign-up, login, and session management using OAuth or JWT tokens.

Cycle Renting: Users can rent a cycle from any available location and return it to any other.

Ride Tracking: Real-time GPS tracking of cycles while rented. Generative AI Model: The AI model analyzes user data and suggests cycle routes or optimal times for renting cycles based on past behavior and user preferences.

Admin Dashboard: Admins can manage cycle inventory, track users, and view rental data.

Mobile Responsive: The website is mobile-responsive for ease of use on smartphones.

Tech Stack

Next.js: Server-side rendering and static generation.

AWS: Scalable ML model hosting.

Gemini: Precision ML recommendations.

Vercel and Amplify: Fast, optimized deployment.

Render: Backend service hosting.

Cycle Tracking: Google Maps API

Database: DynamoDB

Cloud Services: AWS Lambda, AWS Cognito, AWS S3 (for storage)

Installation

Install my-project with npm

  git clone https://github.com/TANJIRO1709/ServiceHub.git
  cd ServiceHub
  npm install
  npm run dev
  Add env variables of cognito , render deployment of backend
  API key of google maps 

Usage

Sign Up / Login: Users need to sign up or log in to start renting cycles.

Renting a Cycle: Once logged in, users can view available cycles at different locations and rent one.

Tracking: While riding, the system will track the user's cycle in real-time.

AI Suggestions: Based on your usage, the system will provide personalized route or cycle renting time suggestions.

Future Enhancements

Scalability: Expand server resources on Vercel and AWS. Advanced ML Models: Integrate more sophisticated models. Add or remove cycles from locations View all active rentals Monitor user activities and cycle tracking

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