RetailSense

Demonstration : https://www.youtube.com/watch?v=1XH1-fSYLh8

RetailSense

Welcome to the RetailSense repository! This is a software built using the leveraging camera technology for enhanced in-store retail analytics. Using the YOLO algorithm it tracks customer movements assesses crowd density and evaluates product interest. Each section is a designated ROI for targeted analysis. Data collected optimizes product placement offering invaluable insights for marketing teams.

🛠️ Installation Steps:

1. Front End

npm i

npm run dev

2. Backend

uvicorn index:app --reload

3. Machine Learning

pip install -r requirements.txt

💻 Built with

Technologies used in the project:

• Python
• React
• Tailwind
• MongoDB
• AWS
• FastAPI
• GenerativeAI

Screenshots

If you encounter any issues or have suggestions for improvements, please create an issue or pull request on GitHub.