My Portfolio Website
Built with Next.js, TypeScript, Tailwind CSS, shadcn/ui, and Framer Motion, deployed on Vercel. Features a Hybrid RAG System leveraging all-mpnet-base-v2 for semantic search, onnxruntime-web for optimized inference, and llama-3.3-70b-versatile for AI-driven text generation. Additionally, it integrates the GitHub API for real-time project updates, ensuring dynamic content. The system enhances user interactions with intelligent query processing, intent classification, and adaptive responses powered by fine-tuned embeddings and efficient retrieval methods. It also has a terminal feature, allowing users to run commands, enhancing interactivity and user engagement.
- Year
- 2023
- Platform
- Web
- Type
- Personal
- Status
- Shipped
What it does
- AI-powered semantic search
- Hybrid RAG system with intelligent retrieval
- Interactive terminal emulator with basic command execution (`ls`, `clear`, `exit`, `whoami`, etc.)
- Built-in PDF viewer for resume preview
- Optimized AI inference using ONNX Runtime and Groq
- Text generation capabilities with LLaMA-3.3-70B-Versatile
- Fine-tuned intent classification for better query understanding
Built with
- NextJS
- React
- Typescript
- Tailwind
- Framer motion
- shadcn/ui
- Vercel
- Github API
- Python
- Python Virtual Environment
- all-mpnet-base-v2
- llama-3.3-70b-versatile
- Groq
- ONNX Runtime
- Scikit-learn
- PyTorch