📊 InternTrack

🤖 AI-Driven Internship Analytics Platform

🚀 PGT Global Network – AIML Internship Mega Project

Smart Evaluation • Fair Assessment • Data-Driven Insights

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🌟 Overview

The Intern Performance Tracking System is an AI-powered analytics platform designed to automate intern evaluation and eliminate subjective manual assessments.

It converts raw intern data into:

• 📈 Performance scores
• 🧠 Skill gap insights
• 🎯 Personalized learning recommendations

💡 Built as a real-world industry simulation under PGT Global Network’s AIML Mega Project.

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🏢 About PGT Global Network

PGT Global Network empowers learners with:

🎓 Industry-grade projects
🧑‍🏫 Mentorship-based learning
🤖 AI & data-driven systems

🎯 Project Vision Alignment

✔ Objective intern evaluation
✔ Automated tracking workflows
✔ Transparent & fair decision-making

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✨ Features

👥 Role-Based Access Control

Admin Panel	Intern Dashboard
✅ Monitor all interns ✅ Performance analytics ✅ Skill gap detection ✅ Productivity comparison	✅ Performance score ✅ Skill progress charts ✅ Learning recommendations ✅ Growth tracking

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⚙️ System Architecture

┌─────────────┐
│  Intern UI  │
│ (Streamlit) │
└──────┬──────┘
       │ Login / Data Input
┌──────▼──────┐
│  App Layer  │
│   (Python)  │
└──────┬──────┘
       │
┌──────▼────────────┐
│ Analytics Engine  │
│ Pandas / NumPy    │
│ Scoring Logic     │
└──────┬────────────┘
       │
┌──────▼────────────┐
│ AI Recommendation │
│ Skill Gap Engine  │
└──────┬────────────┘
       │
┌──────▼────────────┐
│ Visualization     │
│ Charts & Graphs  │
└───────────────────┘

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📊 Analytics & AI

📥 Input Parameters

• 🎓 Education & academic year
• 🧠 Technical skills
• 📈 CGPA
• ⏱️ Daily internship hours

📤 Output Insights

• ⭐ Performance score
• 📊 Productivity index
• 📉 Progress trends
• 🎯 Personalized learning path

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🖥️ Dashboards

📊 Visual Insights Include

• Performance comparison charts
• Skill distribution graphs
• Growth trend analytics

📌 Built using Matplotlib / Power BI for clarity and impact.

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🔐 Security

• 🔑 Intern ID-based authentication
• 🔒 Secure session handling
• 👤 Role-based page rendering

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🛠️ Tech Stack

Layer	Technology
💻 Frontend	Streamlit
⚙️ Backend	Python
📊 Data Processing	Pandas, NumPy
📈 Visualization	Matplotlib / Power BI
🗄️ Storage	CSV / JSON
🧑‍💻 IDE	VS Code

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📁 Project Structure

interntrack/
├── requirements.txt
├── main.py
├── database.py
├── ai_service.py
├── intern_app.py
├── admin_app.py
└── utils.py

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Prerequisites:

1. Create a .env file with your Google Gemini API key: API_KEY=your_google_gemini_api_key_here
2. Install dependencies: pip install -r requirements.txt
   • streamlit==1.40.0
   • plotly==5.24.0
   • pandas==2.2.2
   • google-generativeai==0.8.2
   • python-dotenv==1.0.1
3. Get your Google Gemini API key from Google AI Studio

Running the App:

1. streamlit run main.py

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🎯 Objectives

🎯 Build an end-to-end AI analytics system
🎯 Simulate corporate internship evaluation
🎯 Reduce manual intervention
🎯 Enable fair, transparent assessments

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🔮 Future Scope

🔗 MySQL / PostgreSQL integration
🔐 JWT / OAuth authentication
☁️ AWS / Azure deployment
📱 Mobile-responsive UI
🧠 ML-based performance prediction

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🏆 Highlights

✨ AI-powered evaluation
✨ Industry-ready architecture
✨ Scalable & modular design
✨ Resume + recruiter friendly

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🔐 Admin Access

Default admin credentials are provided for testing:

• Username: pgt
• Password: 123

⚠️ Security Warning: Update these credentials before production use.

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