Overview

• This project develops a real-time computer vision system that analyzes consumer behavior inside retail stores.
• The system uses video streams to detect customer movements and product interactions, then sends the extracted metrics to an integrated dashboard to support store optimization and decision-making.

Responsibilities

• Implement real-time detection and tracking pipelines using YOLO and OpenCV in Python to identify customer movements and product interactions.
• Build the data pipeline to push metrics to a backend, persist data in MongoDB, and expose endpoints for a React-based dashboard.

Required Skills & Technologies

• Required skills: Python, computer vision basics, YOLO, React basics, MongoDB (Level: Bac+5 expected).
• Technologies used: Python, OpenCV, YOLO, React, MongoDB.

Deliverables & Expectations

• Deliver a working prototype capable of processing video streams in real time, producing reliable interaction/movement metrics.
• Provide documented code, demo datasets or sample videos, and an integrated dashboard view showcasing key metrics for store optimization.

Logistics & How to Apply

• Duration: 4 to 6 months. Number of interns: 2 or 3.
• Apply online: https://lnkd.in/duKj9p6S
• Or send your application by email to jobs@visshopai.com .