Capstone_project

RL-Based Smart Traffic Signal Control

Problem Statement

Problem: Fixed-timer signals. Objectives: Adaptive control. Approach: Q-learning. Outcome: Reduced wait times. Tools: RL.

Objectives

• Objective 1
• Objective 2
• Objective 3

i just wanna test

Tech Stack

• Frontend:
• Backend:
• Database:
• Tools:

Folder Structure

Capstone_project/
│
├── README.md
├── .gitignore
├── requirements.txt
├── CONTRIBUTING.md
│
├── docs/                  # Reports, PPT, diagrams
│   ├── proposal/
│   ├── review/
│   └── final-report/
│
├── src/                   # Main source code
│   ├── backend/
│   ├── frontend/
│   └── ml-model/
│
├── data/                  # Datasets
│   ├── raw/
│   └── processed/
│
├── tests/                 # Test cases
│
├── scripts/               # Helper scripts
│
└── docker/                # Docker-related files (later)

Project Architecture

Installation & Setup

Steps to run locally.

Team Members

• Shivanshi
• Tanvi
• Himadri

Timeline

Phase-wise breakdown.

License

(Optional)