Are you a student looking to gain hands-on experience in deep learning? Look no further “Takeoff Edu Group”! Our deep learning projects are designed specifically for students who are interested in exploring the cutting-edge field of artificial intelligence.
Project Code: TCMAPY2225
Project Title:Automated Fake vs Real Medicine Classification Using Deep Learning and Web-Based DeploymentView DetailsProject Code: TCMAPY2214
Project Title:Adaptive Qualityaware underwater image enhancement using multiscale fusionView DetailsProject Code: TCMAPY2211
Project Title:Automated MRI Lesion Segmentation Using Multi-Model Deep Learning TechniquesView DetailsProject Code: TCMAPY2210
Project Title:Integrated approach to assess the quality of riverView DetailsProject Code: TCMAPY2198
Project Title:YOLOBased RealTime Human Detection for Smart Video Surveillance at The EdgeView DetailsProject Code: TCMAPY2192
Project Title:Image Captioning Using BLIP-2 A Transformer-Based Vision Language Approach.View DetailsProject Code: TCMAPY2191
Project Title:Identification and detection of pills using deep learning methods.View DetailsProject Code: TCMAPY2185
Project Title:Identify Pattern for PixelLevel Segmentation of Lung Tumors in LDCT using Deep LearningView DetailsProject Code: TCMAPY2183
Project Title:Smart Marine Biodiversity Monitoring through Image Based Species ClassificationView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY2225 | Automated Fake vs Real Medicine Classification Using Deep Learning and... | |
| 2 | TCMAPY2214 | Adaptive Qualityaware underwater image enhancement using multiscale fu... | |
| 3 | TCMAPY2211 | Automated MRI Lesion Segmentation Using Multi-Model Deep Learning Tech... | |
| 4 | TCMAPY2210 | Integrated approach to assess the quality of river | |
| 5 | TCMAPY2208 | AIBASED TOMATO CROP DISEASE DIAGNOSTIC SYSTEM | |
| 6 | TCMAPY2198 | YOLOBased RealTime Human Detection for Smart Video Surveillance at The... | |
| 7 | TCMAPY2192 | Image Captioning Using BLIP-2 A Transformer-Based Vision Language Appr... | |
| 8 | TCMAPY2191 | Identification and detection of pills using deep learning methods. | |
| 9 | TCMAPY2185 | Identify Pattern for PixelLevel Segmentation of Lung Tumors in LDCT us... | |
| 10 | TCMAPY2183 | Smart Marine Biodiversity Monitoring through Image Based Species Class... |
Project Code: TCMAPY2225
Project Title:Automated Fake vs Real Medicine Classification Using Deep Learning and Web-Based DeploymentView DetailsProject Code: TCMAPY2214
Project Title:Adaptive Qualityaware underwater image enhancement using multiscale fusionView DetailsProject Code: TCMAPY2211
Project Title:Automated MRI Lesion Segmentation Using Multi-Model Deep Learning TechniquesView DetailsProject Code: TCMAPY2210
Project Title:Integrated approach to assess the quality of riverView DetailsProject Code: TCMAPY2198
Project Title:YOLOBased RealTime Human Detection for Smart Video Surveillance at The EdgeView DetailsProject Code: TCMAPY2192
Project Title:Image Captioning Using BLIP-2 A Transformer-Based Vision Language Approach.View DetailsProject Code: TCMAPY2191
Project Title:Identification and detection of pills using deep learning methods.View DetailsProject Code: TCMAPY2185
Project Title:Identify Pattern for PixelLevel Segmentation of Lung Tumors in LDCT using Deep LearningView DetailsProject Code: TCMAPY2183
Project Title:Smart Marine Biodiversity Monitoring through Image Based Species ClassificationView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY2225 | Automated Fake vs Real Medicine Classification Using Deep Learning and... | |
| 2 | TCMAPY2214 | Adaptive Qualityaware underwater image enhancement using multiscale fu... | |
| 3 | TCMAPY2211 | Automated MRI Lesion Segmentation Using Multi-Model Deep Learning Tech... | |
| 4 | TCMAPY2210 | Integrated approach to assess the quality of river | |
| 5 | TCMAPY2208 | AIBASED TOMATO CROP DISEASE DIAGNOSTIC SYSTEM | |
| 6 | TCMAPY2198 | YOLOBased RealTime Human Detection for Smart Video Surveillance at The... | |
| 7 | TCMAPY2192 | Image Captioning Using BLIP-2 A Transformer-Based Vision Language Appr... | |
| 8 | TCMAPY2191 | Identification and detection of pills using deep learning methods. | |
| 9 | TCMAPY2185 | Identify Pattern for PixelLevel Segmentation of Lung Tumors in LDCT us... | |
| 10 | TCMAPY2183 | Smart Marine Biodiversity Monitoring through Image Based Species Class... |
Project Code: TCMAPY2225
Project Title:Automated Fake vs Real Medicine Classification Using Deep Learning and Web-Based DeploymentView DetailsProject Code: TCMAPY2214
Project Title:Adaptive Qualityaware underwater image enhancement using multiscale fusionView DetailsProject Code: TCMAPY2211
Project Title:Automated MRI Lesion Segmentation Using Multi-Model Deep Learning TechniquesView DetailsProject Code: TCMAPY2210
Project Title:Integrated approach to assess the quality of riverView DetailsProject Code: TCMAPY2198
Project Title:YOLOBased RealTime Human Detection for Smart Video Surveillance at The EdgeView DetailsProject Code: TCMAPY2192
Project Title:Image Captioning Using BLIP-2 A Transformer-Based Vision Language Approach.View DetailsProject Code: TCMAPY2191
Project Title:Identification and detection of pills using deep learning methods.View DetailsProject Code: TCMAPY2185
Project Title:Identify Pattern for PixelLevel Segmentation of Lung Tumors in LDCT using Deep LearningView DetailsProject Code: TCMAPY2183
Project Title:Smart Marine Biodiversity Monitoring through Image Based Species ClassificationView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY2225 | Automated Fake vs Real Medicine Classification Using Deep Learning and... | |
| 2 | TCMAPY2214 | Adaptive Qualityaware underwater image enhancement using multiscale fu... | |
| 3 | TCMAPY2211 | Automated MRI Lesion Segmentation Using Multi-Model Deep Learning Tech... | |
| 4 | TCMAPY2210 | Integrated approach to assess the quality of river | |
| 5 | TCMAPY2208 | AIBASED TOMATO CROP DISEASE DIAGNOSTIC SYSTEM | |
| 6 | TCMAPY2198 | YOLOBased RealTime Human Detection for Smart Video Surveillance at The... | |
| 7 | TCMAPY2192 | Image Captioning Using BLIP-2 A Transformer-Based Vision Language Appr... | |
| 8 | TCMAPY2191 | Identification and detection of pills using deep learning methods. | |
| 9 | TCMAPY2185 | Identify Pattern for PixelLevel Segmentation of Lung Tumors in LDCT us... | |
| 10 | TCMAPY2183 | Smart Marine Biodiversity Monitoring through Image Based Species Class... |
Related Projects
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.
With our projects, you'll not only gain valuable technical skills, but you'll also have the opportunity to showcase your work to potential employers.
Are You looking for Deep Learning Projects & Support?
Our deep learning projects are designed to be both educational and impactful, so you can make a real difference in the world of AI.
So why wait? Get started on your deep learning journey today and take the first step towards a rewarding career in AI. Join Takeoff Edu Group community of students, researchers, and industry professionals and be at the forefront of this exciting field.
Sign up now and start your deep learning project!
Paper Publishing
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
1st Floor, 1-5-558, 2nd St, Balaji Colony, Tirupati, Andhra Pradesh 517502.
+91 9030333433
+91 9393939065
0877-2261612
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, not projects of or by IEEE.
