An intelligent chat assistant built with modern web technologies, featuring real-time AI conversations and speech-to-text transcription capabilities.
I developed this full-stack chat application to demonstrate proficiency in modern web development while exploring the integration of AI services in real-world applications. The project showcases React patterns, serverless architecture, and thoughtful UX design principles.
Clean, modern chat interface with intuitive design
Intelligent conversations powered by Groq's LLaMA models
Dynamic project showcase with real-time data fetching
Detailed project information in elegant modal design
Real-time audio transcription and text-to-speech powered by Deepgram and Groq
Interactive FAQ section for quick access to common questions
Thoughtful confirmation dialogs for better user experience
- Intelligent Conversations: Powered by Groq's LLaMA models for fast, contextual responses
- Speech-to-Text: Real-time audio transcription using Groq's Whisper API
- Text-to-Speech: Natural-sounding AI voices using Deepgram TTS
- Responsive Design: Optimized for desktop, tablet, and mobile devices
- Project Showcase: Dynamic project portfolio integration
- Project Modals: Clickable project previews open modals with detailed information
- FAQs: Clickable FAQ bubbles help users quickly access common questions; open/close state is persisted with localStorage
- Chat History Persistence: Chat history and open FAQs are saved in localStorage for session continuity
- Delete Chat Option: Users can delete chat history, triggering a warning modal for confirmation
- Form Validation: Input field is validated for completeness and correctness
- MUI Alerts: Success and error alerts for chat deletion, transcription, TTS conversion, and invalid forms.
- Framer Motion Animations: Subtle, smooth UI transitions and animations for enhanced user experience
- Real-time Interactions: Smooth animations and loading states
- Dynamic Data: Fetches data from Supabase
- Frontend: React 18 + TypeScript + Vite for optimal development experience
- Styling: Tailwind CSS for responsive design patterns
- UI Animations: Framer Motion for subtle, performant transitions
- Component Library: MUI for alerts and UI feedback.
- State Management: React hooks with optimized re-rendering
- Persistence: localStorage for chat history and FAQ state
- API Integration: Groq AI services for chat and transcription, Deepgram for text-to-speech
- Audio Processing: MediaRecorder API for speech-to-text, Deepgram TTS for audio playback
- Form Validation: Ensures robust user input handling
- Deployment: Vercel serverless functions for scalable backend
This project represents my exploration of modern AI integration patterns and demonstrates my ability to:
- Architect scalable solutions using serverless technologies
- Integrate complex APIs while maintaining excellent user experience
- Handle real-time data with proper loading states and error handling
- Design intuitive interfaces that work across all device types
- Write maintainable code with TypeScript and modular architecture
The project evolved through several iterations, each teaching valuable lessons about full-stack development and AI integration. Key challenges I overcame include optimizing audio processing for web browsers, switching from the Web Speech API to Deepgram for TTS, implementing robust error handling for AI services, and creating seamless user interactions.
Victor Kevz
- Portfolio: chatbot.victorkevz.com
- CV Site: victorkevz.com
- LinkedIn: Victor Kuwandira
- Email: contact@victorkevz.com