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Project Detail

RIOS

End-to-end retail intelligence system connecting behavior signals, data pipelines, and decision support.

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Tech Stack

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Key Features

Build Stack

Ultralytics YOLOOpenCVFastAPINext.jsPostgreSQLLLM Reporting LayerEdge / IoT Integration
RIOS
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Key Features

  • Developed a retail analytics platform that processes customer behavior from camera feeds and delivers insights via an interactive dashboard.
  • Trained and deployed a custom YOLO model to detect interactions (touch, hold, no interaction, item removed) and map them to KPIs.
  • Built backend pipelines integrating NLP trend signals and an LLM assistant for reporting and inventory recommendations.
  • Designed for IoT deployment (ESP32-CAM) and identified behavioral signals to support retail decision-making.