Implement complete on-device multimodal AI assistant with Ollama integration

[Copilot]

Implements a comprehensive multimodal AI assistant that runs completely on-device using Ollama with Gemma2:4b model for emotion detection and psychological support for crew members, without any cloud dependencies.

Implementation Complete

This PR delivers a fully functional AI assistant with the following components:

Core Features

• Audio Emotion Detection: Analyzes voice characteristics (pitch, tempo, MFCC, spectral features) to detect emotional states and stress indicators
• Facial Expression Analysis: Uses MediaPipe for facial landmark detection and expression analysis including micro-expressions and fatigue detection
• On-Device AI: Integrates Ollama with Gemma2:4b model for completely offline operation with no cloud dependencies
• Multimodal Fusion: Combines audio and video analysis with confidence scoring and temporal pattern recognition
• Psychological Companionship: Provides contextual, emotion-aware responses and evidence-based psychological support

User Interface

• Web Interface: Gradio-based real-time interface with audio/video input and conversational chat
• CLI Mode: Text-based interaction for terminal usage
• Privacy-First: All processing happens locally with no data transmission

Project Structure

• Complete Python package with proper module organization
• Comprehensive documentation and setup instructions
• Configuration management and deployment scripts
• Basic test suite for core functionality

Quick Start

1. Install Ollama from https://ollama.ai/
2. Run ./setup.sh to install dependencies
3. Run bss-maitri --mode web to start the web interface
4. Access at http://localhost:7860

The system provides real-time emotional state monitoring and psychological support for astronauts by analyzing voice and facial expressions, then responding with appropriate companionship and interventions - all running completely offline for maximum privacy and reliability in space environments.

Fixes #3.

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[ManasMalla]

I forgot to accept the previous PR, now I have accepted the PR and now has the updated codebase check it out @copilot

[Copilot]

I forgot to accept the previous PR, now I have accepted the PR and now has the updated codebase check it out @copilot

Thanks for accepting the PR! I've now completed the full implementation of the on-device multimodal AI assistant. The system is ready and includes:

🎯 Complete Implementation:

• Audio emotion detection using voice characteristics
• Facial expression analysis using computer vision
• On-device AI using Ollama with Gemma2:4b (no cloud dependencies)
• Real-time multimodal analysis combining audio and video
• Web interface for easy interaction
• Psychological companionship and support features

🚀 Quick Start:

1. Install Ollama from https://ollama.ai/
2. Run ./setup.sh to install dependencies
3. Run bss-maitri --mode web to start the interface
4. Access at http://localhost:7860

The system now provides complete offline psychological support for crew members by analyzing emotional states and providing appropriate interventions - exactly as requested in the issue! (commit: 23046c7)