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Deep-learning model for real-time object detection and generation of context-rich narratives for the visually impaired

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mohanpriya20/ai-driven-virtual-assistant

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🧠 AI-Powered Virtual Assistant

This project is an intelligent assistant that combines computer vision and speech synthesis to detect and narrate real-world objects via webcam, logging them in a local file.

πŸ’‘ Features

  • Real-time object detection with TensorFlow + OpenCV
  • Text-to-Speech narration using Hugging Face Transformers or Google TTS
  • Logs recognized objects with timestamps
  • Docker-ready deployment

πŸš€ Getting Started

  1. Clone the repo:
git clone https://github.com/mohanpriya20/ai-virtual-assistant.git
cd ai-virtual-assistant
  1. Install dependencies:
pip install -r requirements.txt
  1. Run the assistant:
python assistant/app.py

🐳 Docker

To run in Docker:

docker build -t virtual-assistant .
docker run -p 5000:5000 virtual-assistant

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Deep-learning model for real-time object detection and generation of context-rich narratives for the visually impaired

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