📊 EduTrack – Automated Student Attendance Monitoring & Analytics System

📌 Problem Statement (SIH25016)

Title: Automated Student Attendance Monitoring and Analytics System for Colleges
Domain: Smart Education
Proposed by: Government of Punjab

The problem statement requires developing a smart system that automates student attendance monitoring and provides analytics dashboards for institutions, teachers, and students.

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🚀 Solution Overview

EduTrack is a web + mobile-based application designed to:

• Automate attendance tracking using digital logs / face recognition / QR codes.
• Provide real-time analytics dashboards for teachers, students, and administrators.
• Minimize manual errors and save faculty time.
• Enable data-driven insights for improving student engagement.

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🛠️ Features

• ✅ Student Attendance Automation (QR/Face Recognition/ID swipe support)
• 📊 Analytics Dashboard (attendance trends, defaulter lists, reports)
• 👩‍🏫 Faculty Panel (mark attendance, view class summaries)
• 🎓 Student Panel (check personal attendance, alerts for shortage)
• 🔔 Notifications & Alerts (SMS/Email/App notifications for low attendance)
• ☁️ Cloud-based & Scalable (works for multiple colleges/institutions)

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🏗️ Tech Stack

Frontend

• HTML, CSS, JavaScript
• React.js (for responsive dashboards)

Backend

• Node.js / Java / Python Flask (depending on implementation)
• REST APIs for communication

Database

• MySQL (student records & attendance logs)

Additional Integrations

• Face Recognition (OpenCV, Deep Learning models)
• QR Code / RFID based scanning system
• Cloud Hosting (AWS / Azure / GCP)

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📊 Architecture (High-Level)

1. Data Collection Layer → Attendance captured via QR / Face Recognition / RFID.
2. Backend API Layer → Processes attendance data, stores in DB.
3. Database Layer → Stores student profiles, attendance logs, analytics data.
4. Frontend Dashboard → Displays analytics & insights to stakeholders.

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🧑‍🤝‍🧑 Target Users

• Students → Track attendance & get alerts.
• Faculty → Simplify attendance marking & reporting.
• Administration → Monitor trends, generate reports, ensure compliance.

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📈 Expected Impact

• 📉 90% reduction in manual effort for attendance tracking.
• ⏱️ Real-time insights into class engagement.
• 🎯 Data-driven decision-making for academic performance monitoring.

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🚀 Future Scope

• Integration with LMS (Learning Management Systems).
• AI-powered student engagement prediction models.
• Mobile app with offline attendance sync.

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👨‍💻 Team

👨‍💻 Team

🚀 Team Name: Quantum Coders 👥 Members:

ASTA91-GIT

Tanishk672006

Purva2907

Sakshi-kosbe

swanandmuddewad

sahilparte89

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📌 Status

🔨 Currently in prototype / development stage for SIH 2025.

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📜 License

This project is developed under Smart India Hackathon 2025 guidelines.