Next-Gen Alexa Multimodal Assistant
August 2025
A next-generation Alexa-style AI assistant with voice, vision, and video interactions powered by multimodal AI and agentic RAG.
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Technologies Used
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Project Overview
This project reimagines the voice assistant experience by combining voice, vision, and retrieval-augmented generation into a unified multimodal AI system. Unlike traditional assistants, it can not only respond with natural speech but also leverage a webcam to see the user, recognize gestures, expressions, and objects, and provide context-aware answers. Users can talk to it, show things to it, or even interact with it in video-call style. Built with LangGraph, Groq, Google GenAI, OpenCV, SpeechRecognition, and ElevenLabs, it blends real-time multimodal awareness with conversational intelligence for a futuristic assistant experience.
Key Features
Voice Interaction
Talk to the assistant and receive natural, human-like speech responses.
Vision Awareness
Understands shirt colors, gestures, objects, and facial expressions via webcam.
Agentic RAG
Retrieves knowledge from personal sources for context-aware answers.
AI in Video Form
Interact with the assistant in a video-call style interface.
Challenges
- •Integrating multimodal streams (voice, video, RAG) in real time
- •Ensuring smooth webcam + mic handling across platforms
- •Maintaining conversational memory with context-aware retrieval
Key Learnings
- •Built a seamless multimodal pipeline with vision, audio, and RAG
- •Explored LangGraph for agentic AI flows
- •Enhanced real-time AI-human interaction design with video presence
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