Conversational AI Pipeline Multimodal AI Assistant with Real-Time Processing
A conversational AI system that can see, hear, and understand context through advanced multimodal processing of audio, video, and screen content for intelligent real-time interactions.
Key Features
Advanced Audio Processing
Real-time audio capture with noise reduction, speech-to-text conversion using OpenAI Whisper, and emotion detection from voice patterns.
Computer Vision Integration
Face detection, emotion recognition, body pose tracking, and gesture recognition using MediaPipe and advanced CV models.
Context-Aware AI
Intelligent responses using GPT-4 with context from audio, visual, and screen content for natural conversations.
Real-Time Processing
Multimodal data processing pipeline with synchronized audio, video, and screen recording for instant AI responses.
Interactive Dashboard
Live visual interface showing camera feed, screen recording, audio waveforms, and real-time processing status.
Modular Architecture
Extensible pipeline design with pluggable AI models, memory systems, and customizable response generation.
Humanoid Integration
Advanced AI system designed for real-world humanoid robots like Groot, enabling natural human-robot interactions with emotional intelligence and contextual understanding.
Interview Preparation
Dynamic role-playing system that adapts to different job positions and personality types, providing realistic interview scenarios and personalized feedback.
AI Pipeline Architecture
User Input
Multimodal input from person speaking, gesturing, and interacting with screen content.
Audio Processing
Noise reduction, speech-to-text, voice activity detection, and emotion analysis.
Computer Vision
Face detection, emotion recognition, body pose tracking, and activity recognition.
AI Response
Context-aware LLM processing with memory systems and natural conversation flow.
Response Generation
Text-to-speech synthesis with natural pauses and multimodal response delivery.
AI Models & Technologies
Audio Processing
Computer Vision
NLP & Response
Technical Implementation
Multi-Media Recording
- Audio Capture: 16kHz microphone input with real-time waveform visualization
- Video Recording: 640x480 camera feed with live preview
- Screen Capture: 1920x1080 screen recording with synchronized timing
- Threading: Concurrent processing of all media streams and models for lower latency
Real-Time Processing Pipeline
- Audio Pipeline: PyAudio → Noise Reduction → VAD → STT and Emotion Analysis
- Visual Pipeline: OpenCV → MediaPipe → Face(Identity) Detection → Pose Detection → Activity Recognition → Video Summarization
- Screen Pipeline: CLIP → Screen Summarization
- Context Fusion: Multimodal data integration for comprehensive memory and understanding
- Response Generation: LLM processing → TTS synthesis → Natural delivery
Interactive Dashboard
- Live Previews: Real-time camera and screen recording displays
- Audio Visualization: Dynamic waveform display of microphone input
- Status Indicators: Visual feedback for recording and processing states
- Control Interface: Controls for starting/stopping sessions
Use Cases & Applications
Educational Assistant
Tutoring with visual context understanding, code explanation during programming sessions, and interactive learning support.
Meeting Intelligence
Context-aware meeting assistance, real-time Q&A during presentations, and intelligent note-taking with visual understanding.
Healthcare Support
Patient interaction analysis, emotion monitoring, and assistive technology for individuals with communication needs.
Humanoid Robotics
AI integration for humanoid robots like Groot, enabling natural conversations, emotional responses, and contextual understanding in real-world environments.
Interview Simulation
Dynamic interview preparation with AI that adapts to different job roles, company cultures, and interviewer personalities for realistic practice scenarios.
Technical Challenges & Solutions
Real-Time Performance
Optimized threading architecture and efficient model inference to maintain low latency across all processing pipelines.
Multimodal Synchronization
Advanced timestamp management and data fusion algorithms to coordinate audio, video, and screen content processing.
Context Integration
Sophisticated context fusion techniques combining visual, auditory, and textual information for comprehensive understanding.
Natural Interaction
Advanced interrupt logic and natural conversation flow management for seamless human-AI interactions.
Interested in this project?
Feel free to reach out to discuss collaboration opportunities or ask any questions.