The ML program is designed for students who specialize in Computer Science, IT, or Artificial Intelligence. It focuses on building machine learning systems through mathematical modeling, algorithm design, and data pipeline integration. Students explore classification, regression, clustering, and ensemble techniques, along with feature engineering and model deployment. Hands-on projects include smart traffic systems, healthcare prediction, and autonomous systems, aligning academic learning with industry-driven applications.
| S.NO | PROJECT NAME | YEAR |
|---|---|---|
| 1 | Improving Accuracy in Face Attendance Identification with K-Nearest Neighbour Algorithm and Data Augmentation for Machine Learning Techniques | 2025 - 2026 |
| 2 | Crop Compatibility Analysis for Vertical Farming Using Apriori Algorithm | 2025 - 2026 |
| 3 | Crowd Density Analysis for Social Distance Enforcement Using Convolutional Neural Network Algorithms and Spatial Distance Techniques | 2025 - 2026 |
| 4 | Real-Time Stock Price Prediction Using Streaming Data During Omicron Analysis | 2025 - 2026 |
| 5 | Leveraging Clustering Algorithms to Detect Patterns in Software Bugs for Enhanced Debugging Efficiency | 2025 - 2026 |
| 6 | Real-Time Crime Prediction Using Supervised Learning Algorithm and Convolutional Neural Networks Techniques for Surveillance Data Analysis | 2025 - 2026 |
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