Department of
Computer Science and Engineering
Capstone Projects
Capstone Projects Offered for 35 Intake
| Sl No. | Intake/ Section | Student ID | Student Name | Offered Semester | Due Complete | Supervisor | Project or Thesis Title | Status | ||||||||||||||||||||||||||||||
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| 1 |
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Mr. Md. Mijanur Rahaman | A Novel Approach to Blockchain-Based Food Supply Management System | Ongoing | ||||||||||||||||||||||||||||||
| 2 |
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Milon Biswas | Best Eleven Forecast for Bangladesh Cricket Team with MachineLearning Techniques | COMPLETED | ||||||||||||||||||||||||||||||
| 3 |
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Milon Biswas | Bangladesh Cricket Team with MachineLearning Techniques | COMPLETED | ||||||||||||||||||||||||||||||
| 4 |
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Ms.Fahima Khanam | Information- Based Mobile Application to Tackle COVID-19 Circumstances | COMPLETED | ||||||||||||||||||||||||||||||
| 5 |
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An Attention- based Medical NER in the Bengali Language | COMPLETED | |||||||||||||||||||||||||||||||
| 6 |
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Milon Biswas | Home Automation Framework focused on IoT andFuture Prediction of Use with Machine Learning | Ongoing | ||||||||||||||||||||||||||||||
| 7 |
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Blockchain Based Architecture for Certificate Authentication | COMPLETED | |||||||||||||||||||||||||||||||
| 8 |
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An Effective Deep Learning Approach Based On CNN To Predict COVID-19 Rapidly Using Chest Image | Ongoing | |||||||||||||||||||||||||||||||
| 9 |
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Human Abnormality Classi fication using Combined CNN-RNN Approach | COMPLETED | |||||||||||||||||||||||||||||||
| 10 |
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Md. Saifur Rahman | Traffic Congestion Problems and an IoT base Solution for Dhaka City | Ongoing | ||||||||||||||||||||||||||||||
| 11 |
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Mr. M M Fazle Rabbi | Breast Cancer Classification Using Deep Learning Technique With Mammogram Image. | Ongoing | ||||||||||||||||||||||||||||||
| 12 |
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Mr. Md. Ahsanul Haque | Inventory management system of an Online Shopping | COMPLETED | ||||||||||||||||||||||||||||||
| 13 |
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Milon Biswas | BPS:Blockchain Based Payment System | COMPLETED |