AI Assistant Platform
An advanced AI platform offering a suite of tools including General AI Chat, Resume Reviewer, Interview Assistant, PDF Chatbot, and Image Q&A. Built for career and research tasks with ultra-fast Groq inference.
Tech stack
Impact
Problem Statement
Professionals and students often need multiple specialized AI tools - for resumes, interviews, research, and general chat - which are typically scattered across different platforms.
Dataset
Utilizes multi-modal capabilities to process text, PDFs (for resume and research), and images (Vision AI) without requiring a custom fine-tuned dataset.
Architecture
Full-stack architecture featuring a separate frontend and backend repository. Integrates the blazing-fast Groq API to serve 6+ AI models with minimal latency.
Model Selection
Leverages Groq's LPU inference engine to run powerful open-source models with ~2s response times, significantly enhancing user experience for real-time chat and analysis.
Training Process
Focused on prompt engineering and specialized module orchestration (e.g., ATS scoring constraints, mock interview personas) rather than foundational model training.
Evaluation Metrics
Results
A unified AI workspace deployed on Vercel, providing users with a seamless, high-speed interface for complex tasks like multi-PDF analysis and mock interviews.
Key Learnings
- 1Specialized AI modules provide more value than a single generic chatbot.
- 2Groq's inference speed fundamentally changes the feel of full-stack AI apps.
- 3Managing separate frontend and backend repositories allows for cleaner separation of concerns in complex AI platforms.
Want to dig deeper?
Explore the code, or get in touch if you'd like to talk through the approach.