Machine Learning program dives into advanced algorithms and model optimization techniques. Topics include deep learning, neural networks, reinforcement learning, and natural language processing (NLP). Learners gain practical exposure to TensorFlow, Keras, and PyTorch frameworks, applying them to real-time datasets. Projects focus on image recognition, sentiment analysis, predictive analytics, and AI automation systems, preparing students for professional roles in AI research, data science, and machine intelligence.
| S.NO | PROJECT NAME | YEAR |
|---|---|---|
| 1 | Nutritional Content Estimation in Agricultural Products Using Spectroscopy and Support Vector Machines Algorithm | 2025 - 2026 |
| 2 | Sentiment Analysis of YouTube Comments Using Natural Language Processing Algorithm and Video Content Feedback | 2025 - 2026 |
| 3 | Predicting Optimal Course Pathways for Bridge Course Students Using Classification Algorithms | 2025 - 2026 |
| 4 | Data Mining Techniques for Enhancing K-Means Clustering in MRI Lung Analysis | 2025 - 2026 |
| 5 | Predictive Analytics for OnePlus Stock Prices Using Optimization Algorithm and Smart Contracts | 2025 - 2026 |
| 6 | Prediction Face Recognition for Personal Identification in Public Systems Using K-Nearest Neighbor Algorithm and Grayscale Techniques | 2025 - 2026 |
| 7 | Predicting Customer Subscription Based Reservation Systems Using Artificial Intelligence and Machine Learning Techniques | 2025 - 2026 |
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