🚀 InternAI – AI Internship & Resume Mentor

📝 Project Overview

InternAI is a modern, AI-powered platform designed to help students and job seekers improve their resumes, get personalized internship suggestions, and receive actionable career guidance. The platform features:

• AI chat assistant for resume and career queries
• Resume upload and analysis
• User profile management

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1. One-liner

AI-assisted platform that helps students discover internships, improve resumes, and get data-driven career guidance.

2. Problem statement

Finding relevant internships and preparing an application is time-consuming for early-career students. Many candidates lack personalised guidance for resume improvement, interview readiness, and targeted internship discovery. This results in missed opportunities and inefficient job-search workflows.

3. Solution overview

InternAI provides a prototype dashboard combining internship discovery, resume analysis, and an AI chat assistant that offers personalised recommendations. The prototype focuses on a smooth onboarding and demo-ready experience so evaluators can quickly try core functionality.

4. Key features

• AI-powered resume analysis and suggestions
• Personalized internship recommendations and search
• Dashboard with stats, applications, and activity
• Networking hub for community posts and groups (prototype)
• Referrals and basic referral tracking dashboard
• Local demo mode with sample data and simplified auth

5. Prototype scope

This repository contains a hackathon prototype: an interactive frontend, demo backend endpoints, local storage for profiles/resumes/chats, and admin scaffolding. It is intended for evaluation and not for production use.

6. Tech stack

• Frontend: React, Vite, TypeScript, Tailwind CSS
• UI: shadcn/ui components, Lucide icons
• Backend (demo): Node.js / Express (stateless endpoints)
• Storage: Browser localStorage for profile, resume and chat

7. How to run locally

1. Clone the repo and enter the project directory.

git clone <REPO_URL>
cd <PROJECT_FOLDER>
npm install

2. Start the frontend (Vite dev server):

npm run dev

3. (Optional) Start the demo backend in a separate terminal if you plan to call server endpoints:

node server.cjs

4. Open the local URL shown by Vite (commonly http://localhost:5173/ or http://localhost:8080/).

8. Future scope

• Add persistent backend storage (e.g. Supabase or Postgres)
• Securely integrate production-grade AI APIs with proper rate-limiting
• Implement full authentication & authorization (JWT / OAuth)
• Add real-time networking (websockets) and notifications
• Add E2E tests and CI/CD for production readiness

9. Team / Author

• Team: Syntrix
• Built by: Nishant Maurya
• Role: Founder & Developer

10. Disclaimer

This project was developed as part of a hackathon / innovation challenge and is a prototype for demonstration and evaluation purposes only.

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