TPL🚦 TPLLM - Traffic Prediction Large Language Model

🌐 Overview TPLLM is an AI-driven framework designed to reduce traffic congestion and optimize vehicle flow in highly populated areas. It leverages LLMs (LLaMA-GPT style models), real-time traffic streaming data, and predictive analytics to forecast traffic conditions.

⚙️ Features -LLaMA GPT-style model fine-tuned on traffic data -RESTful Flask API with GPU support -MongoDB storage for large-scale datasets -React/Next.js UI for live predictions

🗂️ Project Structure

TPLLM/ ├── api/ # Flask API, model ├── data/ # MongoDB data pipeline ├── frontend/ # Next.js Prediction Dashboard └── README.md

Project Documentation

🏗️ Setup & Initialization #Clone the Repository -bash -Copy -git clone https://github.com/your-org/TPLLM.git -cd TPLLM #Setup Python Environment -cd api -python3 -m venv venv -source venv/bin/activate -pip install -r requirements.txt #Access Endpoints Service URL API http://localhost:5000 MongoDB mongodb://localhost:27017 Frontend http://localhost:3001

🤖 Author & Maintainers Project Lead: [Prashant]

📧 Contact: prashantbansal529@gmail.com

📜 License MIT License - Open Source Project for AI Traffic Prediction.

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