At Prasartech Projects and Solutions, our Python-based projects for 2025–2026 are designed to immerse students in the world of artificial intelligence, machine learning, and data-driven innovation. Covering domains like healthcare, finance, cybersecurity, and smart automation, these projects focus on solving complex real-world challenges through advanced algorithms and predictive analytics. From stock market forecasting, brain disease risk assessment, and real-time face recognition to blockchain optimization, crime prediction, and autonomous vehicle object detection, learners gain deep exposure to modern AI frameworks and libraries such as TensorFlow, Keras, and Scikit-learn. Each project emphasizes practical implementation, data preprocessing, and model optimization, enabling students to strengthen their coding, analytical, and problem-solving skills. By engaging with Python’s powerful ecosystem, students build future-ready solutions that prepare them for careers in research, industry, and next-generation technology development.
| S.NO | PROJECT NAME | YEAR |
|---|---|---|
| 1 | Customer Segmentation in Wholesale Markets Using XGBoost and Cluster Visualization | 2025 - 2026 |
| 2 | Enhanced High-Utility Pattern Mining Framework for Constrained Product Recommendation Systems | 2025 - 2026 |
| 3 | Linear Regression Based Model for Estimating Air Quality in Industrial Zones | 2025 - 2026 |
| 4 | Optimized Trainer Selection and Client Scheduling System Using Page Rank Algorithm | 2025 - 2026 |
| 5 | Automated Classification of Leaf Diseases Using Deep Learning Techniques | 2025 - 2026 |
| 6 | Healthcare Claim Clearance Using Data Cleaning and Preprocessing Techniques with Random Forest Regressor | 2025 - 2026 |
| 7 | Convolutional Neural Networks for Real-Time Face Recognition Using Deep Learning Techniques | 2025 - 2026 |
| 8 | Machine Learning Based Enhanced Predictive Analytics for Apple Stock | 2025 - 2026 |
| 9 | Deep Learning Approach to Brain Disease Risk Assessment Using Convolutional Neural Networks Algorithm | 2025 - 2026 |
| 10 | Behavioural Segmentation of Credit Card Users Based on Transaction History Using Logistic Regression and Balanced Sampling | 2025 - 2026 |
| 11 | Predictive Analytics for Hypoglycemia Events Using Machine Learning Algorithm | 2025 - 2026 |
| 12 | Surveying Annual Pay Scale Trends Using Machine Learning with Time Series Forecasting and Data Preprocessing Techniques | 2025 - 2026 |
| 13 | Sentiment Analysis of Twitter Data Using Multinomial Naive Bayes Classification | 2025 - 2026 |
| 14 | Dynamic Virtualization Resource Allocation Model for Cloud Brokers Using K Nearest Neighbors | 2025 - 2026 |
| 15 | Machine Learning and Naive Bayes Classification for Job Recommendations Aligned with Industry Trends | 2025 - 2026 |
| 16 | Analysing Helmet Detection in Traffic Safety Monitoring Systems Using Local Binary Pattern Histogram Algorithm and Global Thresholding Techniques | 2025 - 2026 |
| 17 | Feature Selection and Ensemble Techniques for Improved Heart Disease Prediction | 2025 - 2026 |
| 18 | Deep Neural Network Algorithm Based Object Detection and Distance Estimation for Autonomous Vehicles | 2025 - 2026 |
| 19 | Real-Time Sketch Recognition and Image Retrieval Using Lightweight Siamese Networks | 2025 - 2026 |
| 20 | Optimizing Transaction Mining Efficiency with Advanced Proof of Work Algorithms in Blockchain Technology | 2025 - 2026 |
| 21 | Identifying Predictors of Academic Success in Higher Education Through Machine Learning to Inform Counseling Interventions | 2025 - 2026 |
| 22 | Long Term Mutual Fund Investment Strategies Using Machine Learning and Trend Analysis | 2025 - 2026 |
| 23 | Sentiment Analysis of Movie Reviews Using Clustering Techniques and Classification Algorithms | 2025 - 2026 |
| 24 | Deep Learning for Enhanced Course Clustering and Recommendation Using Cosine Similarity | 2025 - 2026 |
| 25 | Forecasting the Risk-Return Trade-Off of Mutual Funds Using Linear Regression | 2025 - 2026 |
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