NJ Transit Smart Journey Assistant 🚆

🏆 Hackathon Achievement

First Place - HackRU Fall 2024 (NJ Transit Track) https://devpost.com/software/ontrack-nj-transit

📱 Overview

Enhancing NJ Transit passenger experience with AI and machine learning:

• 11 commuter rail lines
• 3 light rail lines
• 253 bus routes
• 133M+ annual riders

✨ Key Features

• Smart Delay Prediction: 85%+ accuracy, real-time alerts
• Mechanical Analytics: Predictive maintenance, system monitoring
• AI Support Assistant: 24/7 chat, schedule and fare assistance

🚀 Quick Start

Prerequisites

• Python 3.8+
• Streamlit
• OpenAI API key

Installation

1. Clone the repo:

   git clone https://github.com/yourusername/nj_transit_data_ru_hack.git
   cd nj_transit_data_ru_hack

2. Install dependencies:

   pip install -r requirements.txt

3. Configure environment:

   echo "OPENAI_API_KEY=your_api_key_here" > .env

4. Launch the app:

   streamlit run ON_NJ_Transit.py

📁 Project Structure

nj_transit_data_ru_hack/
├── ON_NJ_Transit.py
├── pages/
├── assets/
├── data/
├── models/
└── utils/

🔒 Security & Best Practices

• Use environment variables
• Regular API key rotation
• Implement rate limiting and encryption

📊 Data Sources & Tech Stack

• Data: NJ Transit API, historical records, NJ Transit Data
• Tech: Streamlit, Python, scikit-learn, Pandas, Plotly

🎯 Impact & Results

• 85%+ delay prediction accuracy
• 24/7 customer support
• 30% improvement in maintenance efficiency

👥 Team

• Vasant Saladi
• Chetan Valluru

🏆 Awards & Recognition

• First Place - HackRU Fall 2024
• Best Transportation Solution
• Best Use of NJ Transit Data