⚡ InternSpark ⚡

🎯 Problem Statement:

Most college students struggle to find tech internships due to poor resume quality, lack of interview preparation, and unclear understanding of job requirements.

---

InternSpark is a modern, AI-powered web application built to guide college students toward internship success by automating and simplifying key stages of the preparation process.

It leverages cutting-edge technologies like Google Gemini and Firebase to provide tailored support in crafting high-quality resumes, generating realistic HR interview questions, and evaluating internship readiness. By offering a personalized, interactive experience, InternSpark helps students not only assess where they stand but also improve systematically with AI-driven suggestions.

The platform is designed to be beginner-friendly, accessible, and practical—making it an ideal companion for students who want to confidently navigate the competitive internship landscape.

Core Google Tech used:

1. Project IDX 
2. Firebase Studio
3. Gemini 2.0 Flash API
4. GenKit
5. Firebase Authentication
6. Firestore Database

Preparation Phase

🚀 Features

1. Resume Reviewer

   • Upload your PDF or text resume (Gemini Vision)
   • Powered by Gemini:
     • ✅ Summarizes skills, education, and key projects
     • ✅ Provides actionable improvement suggestions

2. Mock HR Questions Generator

   • Input a desired internship role (e.g., AIML Intern)
   • Gemini generates 5 contextually relevant HR interview questions

3. Internship Readiness Tracker

   • Upload resume for evaluation
   • Receive a readiness score (0–100) plus 3 tailored improvement tips

4. Cover Letter Generator

   • Provide role and company—based on your resume, Gemini crafts a professional cover letter

5. Job Description Simplifier

   • Paste a job description (via LinkedIn, or any careers page)
   • Gemini transforms it into clear summary, key skills, and preparation guidelines

Snapshots:

🖥️ Landing Page Preview	🔍 Resume Review	🎤 Mock HR Questions

📊 Readiness Tracker	📝 Cover Letter Generator	📄 JD Simplifier

🛠️ Tech Stack

• Frontend: Next.js with Firebase Studio UI (dark themed, responsive)
• Backend: Genkit (TypeScript) powered flows for Gemini-based AI endpoints
• AI: Gemini 2.0 Flash API — prompt-driven text, resume and cover letter generation
• Database: Firestore Database logs user inputs & AI outputs (internspark_logs)
• Auth: Firebase Authentication for safe input/output
• IDE & Hosting: Built via Google IDX & Firebase Hosting
• Deployment: Vercel

Firestore Schema:

internspark_logs:
[
  {
    timestamp,
    resumeText,
    resumeSummary,
    resumeSuggestions,
    mockHRQuestions,
    readinessScore,
    readinessTips,
    coverLetter,
    jobDescriptionSimplified
  }
]

📁 Repository Structure

/src
  /app
    /resume-review
    /mock-interview
    /readiness-tracker
    /cover-letter
    /job-description-simplifier
  /components  → shared UI elements (Tabs, Buttons, Cards)
  /lib         → utility functions (prompt builders, Firestore client)
  /ai          → FastAPI endpoints handling AI calls
.env          → Gemini API key, Firebase config

Getting Started

1. Clone the repo:

git clone https://github.com/tulu-g559/InternSpark-GDG.git

2. Create a .env file or use .env.example with your Gemini API key and Firebase credentials in the given way

GEMINI_API_KEY=

NEXT_PUBLIC_FIREBASE_API_KEY=
NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN=
NEXT_PUBLIC_FIREBASE_PROJECT_ID=
NEXT_PUBLIC_FIREBASE_STORAGE_BUCKET=
NEXT_PUBLIC_FIREBASE_MESSAGING_SENDER_ID=
NEXT_PUBLIC_FIREBASE_APP_ID=

3. uvicorn src.ai.main:app --reload Skip this if you're only using Genkit-based flows hosted on Firebase Studio.

4. Run:

npm install
npm run dev

🌟 Why InternSpark?

InternSpark empowers students with AI-driven feedback to:

• Polish resumes with data-backed improvements
• Practice HR interviews
• Automate cover letter creation
• Decode job descriptions
• Gauge readiness — all in one sleek, dark-mode platform

• Arnab Ghosh

• LinkedIn