Project Lead & Core Developer: Syed Mushahid Ali Kazmi
Mushahid led the entire development lifecycle of TaleemAI — from initial idea, data acquisition, and model design to implementation, testing, and deployment. His dedication shaped the project into a unified AI-powered educational platform.
Collaborative Support & Auxiliary Contributions: Muhammad Abdullah
Muhammad Abdullah supported the initiative through feedback during early development, dataset validation, and assisting with report structuring. His involvement added collaborative depth to the project.
| Source | Type | Description |
|---|---|---|
| Kaggle – Students Performance in Exams | CSV | Core dataset used for training the classification and forecasting models |
| Google Colab | Cloud Platform | Primary environment for model training, testing, and automation |
| GitHub Actions | CI/CD | Used for automatic retraining, evaluation, and reporting workflows |
| Matplotlib / Seaborn | Visualization | Used to generate plots, figures, and performance visualizations |
All dataset references and licenses are documented in resources.md.
The end-to-end workflow is designed for full automation and reproducibility:
- Fetch Dataset → Download from Kaggle via API or manual upload.
- Preprocessing → Data cleaning, encoding categorical variables, and feature scaling.
- Training → Classification using algorithms like Random Forest and Logistic Regression.
- Evaluation → Metrics include confusion matrix and classification report.
- Visualization → Performance graphs saved in the
/reports/directory. - PDF Generation → Automated report creation containing all results and visuals.
- Automation → GitHub Actions triggers retraining and reporting on every push.
Each generated PDF report (stored in the /reports/ folder) includes:
- ✅ Dataset summary and structure
- 📊 Model accuracy, precision, recall, and F1-score
- 🧠 Confusion matrix visualization
- 🌿 Feature importance and interpretation
- 🔮 Forecasting insights for future student performance trends
| Name | Role | Contribution |
|---|---|---|
| Syed Mushahid Ali Kazmi | Lead Developer | System Architecture, AI Modeling, Automation, Documentation |
| Muhammad Abdullah | Technical Support | Dataset Validation, Report Design Support |
This project is licensed under the MIT License — you’re free to use, modify, and distribute it with proper credit.
See the LICENSE file for full details.
A special thanks to the amazing open-source ecosystem and communities:
- 📚 Kaggle Community for providing publicly available datasets.
- ☁️ Google Colab for free cloud computing resources.
- 🔄 GitHub Actions for seamless CI/CD integration.
- 🐍 Python Community for the incredible libraries that made this possible.
Found a bug, have ideas, or want to contribute?
👉 Open an issue or reach out via email — we’d love to hear from you!
“AI can’t replace teachers — but it can empower them.”
📘 TaleemAI — By Students, For Students.