AI Navigation Assistant

Overview

The AI Navigation Assistant is designed to assist visually impaired individuals by providing real-time navigation guidance using object detection and audio feedback. The system consists of an Android application that streams camera frames to a server running a generalized object detection model. The server processes the frames, detects objects, and provides navigation instructions through an AI-powered voice assistant.

Features

• Object Detection: Identifies objects in real time using a YOLO-based model.
• Navigation Assistance: Provides movement instructions based on detected obstacles.
• Audio Feedback: Converts text-based instructions into speech for user guidance.
• GPS Integration: Offers location-based assistance for outdoor navigation.
• Voice Interaction: Accepts voice commands for hands-free operation.

System Architecture

1. Android Application

• Captures video frames and sends them to the server.
• Receives processed navigation instructions and provides audio feedback.
• Uses GPS for location tracking and route assistance.

2. Flask Server

• Hosts the object detection model.
• Processes incoming frames and generates navigation instructions.
• Sends responses back to the Android application.

3. AI Components

• Object detection model (YOLOv5).
• Text-to-speech module for generating voice output.
• Speech recognition module for voice-based interaction.

Installation

Prerequisites

• Python 3.8+
• Flask
• OpenCV
• PyTorch
• YOLOv5
• Pyttsx3 (for text-to-speech)
• Whisper (for speech recognition)

Setup

1. Clone the repository:

   git clone https://github.com/your-repo/ai-navigation-assistant.git
   cd ai-navigation-assistant