Ask-Vibhav Resume Chatbot

◉ An interactive chatbot trained on my resume, deployed on Vercel, powered by Groq LLM API.

◉ Users can ask questions about my background, skills, education, experience, or projects and get fast, on-topic answers directly from the resume.

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◉ Overview

• Uses a fixed knowledge base (My resume text) – no need for a vector DB.
• Built as a Next.js / Vercel serverless API endpoint (/api/chat).
• Talks to Groq’s OpenAI-compatible Chat Completions API with modern LLaMA 3 models.
• Front-end is a minimal chat UI deployed along with the backend.
• The project is designed to be cheap to run (no RAG or embeddings) and simple to maintain.

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◉ Architecture & Design

• High-Level Architecture

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◉ Workflow

# 1. Clone the Repo
git clone https://github.com/your-handle/ask-vibhav.git
cd ask-vibhav

# 2. Install Dependencies
npm install
# or
yarn install

# 3. Set Environment Variables
# Create a .env.local file (for local dev) and add:
GROQ_API_KEY=your-groq-key-here

# 4. Configure Node Runtime (important on Vercel)
# Either in package.json:
{ "engines": { "node": "20.x" } }

# or in vercel.json:
{ "functions": { "api/*.js": { "runtime": "nodejs20.x" } } }

# 5. Run Locally
# open http://localhost:3000
npm run dev

# 6. Deploy to Vercel
vercel deploy