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HAi: Embedded Systems Solution for the Visually and Auditorily Impaired

Introduction

HAi is a pioneering project aimed at assisting the elderly with visual and auditory impairments. Utilizing cutting-edge technology, our system offers a seamless and intuitive experience, enhancing daily life and promoting independence.

Features

  • Advanced Neural Networks: Integrates four different neural networks to interpret visual and auditory data accurately.
  • Comprehensive Datasets: Utilizes well-known datasets such as RAVDESS, FER, LibriSpeech, and COCO for training our models.
  • YOLOv8 Integration: Employs the latest version of YOLO (You Only Look Once) for efficient and accurate real-time object detection.
  • External Processing: Leverages the power of Linode API for external processing, ensuring smooth and responsive system performance on Raspberry Pi devices.

Technology Stack

  • Neural Networks: Custom-designed models for specific tasks related to visual and auditory processing.
  • Datasets:
    • RAVDESS: For auditory emotion recognition.
    • FER: Facial expression recognition.
    • LibriSpeech: Speech recognition and processing.
    • COCO: Object detection and scene understanding.
  • YOLOv8: For cutting-edge object detection and localization.
  • Raspberry Pi: Cost-effective and efficient hardware for on-site processing.
  • Linode API: Cloud computing for heavy-duty processing and neural network inferences.

About

Leveraging deep learning tech to help the visually impaired be more aware of their surroundings.

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