Fusion AI — My Multimodal AI Assistant
Most AI assistants today work mainly with text. But I wanted to go beyond that and build something that feels more natural, more human-like. That’s how I created Fusion AI — an assistant that can see, listen, and talk with you in real-time.
What Fusion AI Does
- 📷 Understands the world through your camera Point your phone at any object, and Fusion AI recognizes it instantly.
- 🎤 Listens to your voice You can simply talk to it, no need to type.
- 🗣 Talks back in a natural voice The interaction feels like a conversation, not just commands.
- 💻 Understands your screen Share your computer screen, and Fusion AI can answer questions about what’s there — code, documents, charts, or media. In short, it’s like having a knowledgeable companion who can see and hear your surroundings.
Why It’s Useful
- Instant answers: No searching or switching apps — just ask.
- Boost productivity: Quick help while coding, studying, or working on projects.
- Accessibility: Makes technology easier for people who prefer speaking or showing instead of typing.
How It Works (Simple Explanation)
Fusion AI connects your app to a Live API using a WebSocket.
- The app sends text and audio to the AI.
- The AI replies in text, audio, or even video.
- All of this happens in real-time, so the conversation feels smooth and interactive.
Tech Stack
I built Fusion AI using:
- Frontend: Next.js, TypeScript (TSX), Tailwind CSS
- Backend + AI: Python + Google Gemini API
- Real-Time Communication: WebSockets
Why I Built It
My goal was to create an AI assistant that feels more natural and powerful — something you can interact with directly through voice and vision instead of just text. Fusion AI makes AI feel more like a real companion.
