📖 About the Project 🎯 What Inspired Us We wanted to reimagine what a developer portfolio could be — not just a static showcase, but an intelligent, interactive experience. The idea sparked during PortXFolio, where we envisioned a tool that helps devs summarize their work and practice recruiter conversations without anxiety. We’ve all struggled with writing the perfect project description or answering, “Tell me about your project.” NeuroFolio solves that.
🧠 What We Learned How to integrate and fine-tune LLM outputs for specific use cases using Groq’s blazing-fast APIs
Creating engaging user experiences with Next.js, Tailwind CSS, and shadcn/ui
Designing conversational flows to simulate recruiter interviews using prompt engineering
🛠️ How We Built It Frontend: Next.js, Tailwind CSS, shadcn/ui
Backend: API routes calling Groq's mixtral-8x7b-32768 model
LLM: Groq SDK for real-time summaries and chatbot interactions
Deployment: Vercel
We structured the app with two core tools:
An AI Project Summary Generator for turning raw project details into concise summaries.
An AI Recruiter Chatbot that simulates interview-style Q&A.
🚧 Challenges We Faced Tuning the prompts to get recruiter-style, concise answers instead of generic AI responses
Managing LLM response time while keeping the UI fast and responsive
Balancing UX between novice-friendly and power-user features
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