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Project Code: TCMAPY1607
Project Title:Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial IntelligenceView DetailsProject Code: TCMAPY1625
Project Title:HAND GESTURE AND VOICE CONVERSION FOR DEAF AND DUMB USING DEEP LEARNINGView DetailsProject Code: TCMAPY1624
Project Title:Mosquito Species Classification through Wingbeat Analysis A Hybrid Machine Learning ApproachView DetailsProject Code: TCMAPY1623
Project Title:Empowering Glioma Prognosis with Transparent Machine Learning and Interpretative Insights Using Explainable AIView DetailsProject Code: TCMAPY1593
Project Title:A RealTime Small Target Vehicle Detection Algorithm with an Improved YOLOv11m Network ModelView DetailsProject Code: TCMAPY1592
Project Title:Harnessing Mixture of Experts for Abstractive Text SummarizationView DetailsProject Code: TCMAPY1591
Project Title:Solid Waste Image Detection Using Deep Convolutional Neural NetworkView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY1607 | Developing a Transparent Anaemia Prediction Model Empowered With Expl... | |
| 2 | TCMAPY1626 | JARVIS | |
| 3 | TCMAPY1625 | HAND GESTURE AND VOICE CONVERSION FOR DEAF AND DUMB USING DEEP LEARNIN... | |
| 4 | TCMAPY1624 | Mosquito Species Classification through Wingbeat Analysis A Hybrid Mac... | |
| 5 | TCMAPY1623 | Empowering Glioma Prognosis with Transparent Machine Learning and Inte... | |
| 6 | TCMAPY1622 | Fake or Real Logo Detection Using ML | |
| 7 | TCMAPY1606 | Sign Language Recognition using Yolo Model | |
| 8 | TCMAPY1593 | A RealTime Small Target Vehicle Detection Algorithm with an Improved Y... | |
| 9 | TCMAPY1592 | Harnessing Mixture of Experts for Abstractive Text Summarization | |
| 10 | TCMAPY1591 | Solid Waste Image Detection Using Deep Convolutional Neural Network |
Project Code: TCMAPY1607
Project Title:Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial IntelligenceView DetailsProject Code: TCMAPY1625
Project Title:HAND GESTURE AND VOICE CONVERSION FOR DEAF AND DUMB USING DEEP LEARNINGView DetailsProject Code: TCMAPY1624
Project Title:Mosquito Species Classification through Wingbeat Analysis A Hybrid Machine Learning ApproachView DetailsProject Code: TCMAPY1623
Project Title:Empowering Glioma Prognosis with Transparent Machine Learning and Interpretative Insights Using Explainable AIView DetailsProject Code: TCMAPY1593
Project Title:A RealTime Small Target Vehicle Detection Algorithm with an Improved YOLOv11m Network ModelView DetailsProject Code: TCMAPY1592
Project Title:Harnessing Mixture of Experts for Abstractive Text SummarizationView DetailsProject Code: TCMAPY1591
Project Title:Solid Waste Image Detection Using Deep Convolutional Neural NetworkView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY1607 | Developing a Transparent Anaemia Prediction Model Empowered With Expl... | |
| 2 | TCMAPY1626 | JARVIS | |
| 3 | TCMAPY1625 | HAND GESTURE AND VOICE CONVERSION FOR DEAF AND DUMB USING DEEP LEARNIN... | |
| 4 | TCMAPY1624 | Mosquito Species Classification through Wingbeat Analysis A Hybrid Mac... | |
| 5 | TCMAPY1623 | Empowering Glioma Prognosis with Transparent Machine Learning and Inte... | |
| 6 | TCMAPY1622 | Fake or Real Logo Detection Using ML | |
| 7 | TCMAPY1606 | Sign Language Recognition using Yolo Model | |
| 8 | TCMAPY1593 | A RealTime Small Target Vehicle Detection Algorithm with an Improved Y... | |
| 9 | TCMAPY1592 | Harnessing Mixture of Experts for Abstractive Text Summarization | |
| 10 | TCMAPY1591 | Solid Waste Image Detection Using Deep Convolutional Neural Network |
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Takeoff Edu Group's deep learning projects cover a wide range of topics, including computer vision, natural language processing, and generative models. Each project comes with comprehensive instructions, and our team is available 24/7 to offer support and guidance along the way.
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Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
