SmartGrade AI is an intelligent, AI-powered, database-driven system designed to analyze and predict student academic outcomes based on performance metrics such as attendance, assignment scores, and internal exam marks.
This project aims to eliminate the guesswork from performance evaluation by introducing a data-backed, predictive approach that benefits both academic institutions and individual students.
A complete video demonstrating all features is available here:
🔗 Watch the Demo Video
SmartGrade AI addresses common challenges in academic monitoring such as:
- Manual grading analysis
- Lack of predictive insights
- Limited centralized tracking
Through a seamless and interactive interface, SmartGrade AI allows users to:
- Manage student records
- Train machine learning models
- Make predictions
- Generate insightful reports
All features are backed by structured data storage and AI logic.
- Improve accuracy in academic evaluation
- Enhance transparency in performance tracking
- Provide efficient prediction tools using intelligent algorithms
Users can input academic data, train a Random Forest model, and receive predictions along with explanation metrics — all through an intuitive GUI.
| Component | Description |
|---|---|
| 🐍 Python | Core language for logic and GUI |
| 🎛️ scikit-learn | Random Forest model & prediction logic |
| 🐬 MySQL | Relational database backend |
| 🖥️ Tkinter | Desktop-based GUI |
| 📄 FPDF / ReportLab | PDF report generation |
SmartGrade AI uses a well-normalized relational schema to:
- Maintain consistency
- Avoid redundancy
- Improve query performance
StudentsAttendanceAssignmentsExamsPredictions
The Entity-Relationship (ER) model clearly defines how these components interact.
- 📊 AI-Powered Grade Prediction using Random Forest Classifier
- 🧠 Train Model & Get Accuracy on datasets of any size
- 🔍 Visualize Decision Path to interpret prediction logic
- 📁 Normalized Relational Schema with MySQL backend
- 🖥️ Interactive GUI for data entry, training, prediction, and reporting
- 📄 Generate PDF Reports of predicted academic outcomes
- 🔒 Modular and Scalable Architecture for future upgrades like user roles or web version
SmartGrade AI serves as a modern academic decision-support tool that bridges data science with education.
Its intelligent design provides predictive insights, streamlines performance monitoring, and paves the way for data-driven academic interventions.
With a scalable backend, user-friendly interface, and accurate machine learning predictions, SmartGrade AI exemplifies the future of smart education systems.
Developer: Vipin Choudhary
Email: vipinchoudhary0911@gmail.com
GitHub: github.com/VipinChoudhary-dev