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: TCMAPY2470
Project Title:EcoSmart An AIBased Waste Segregation, Recommendation, and Analytics SystemView DetailsProject Code: TCMAPY2455
Project Title:Adaptive Data Augmentation Techniques for Software Requirements Classification Using Deep LearningView DetailsProject Code: TCMAPY2361
Project Title:Clothing classification using Vision Transformer and Efficient-Net and CNNView DetailsProject Code: TCMAPY2330
Project Title:AiBased Deep Learning Technique for Electricity Demand and Peak Load ForecastingView DetailsProject Code: TCMAPY2316
Project Title:PneuXNet An Enhanced Feature Extraction and Transformation Approach for Pneumonia DetectionView DetailsProject Code: TCMAPY2315
Project Title:Optimized Deep Learning Framework for Early Detection of Rice Leaf Diseases Using CNNSVM and FRRSALeNet ModelsView DetailsProject Code: TCMAPY2314
Project Title:MSA-ENet Multi-Scale Attention Enhanced Network for Kidney Stone Detection in Ultrasound ImagesView DetailsProject Code: TCMAPY2308
Project Title:Deep Learning Approach for Real and Fake News ClassificationView DetailsProject Code: TCMAPY2307
Project Title:Enhancing Phishing Detection: A Machine Learning Approach with Feature Selection and Deep Learning ModelsView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY2470 | EcoSmart An AIBased Waste Segregation, Recommendation, and Analytics S... | |
| 2 | TCMAPY2455 | Adaptive Data Augmentation Techniques for Software Requirements Classi... | |
| 3 | TCMAPY2361 | Clothing classification using Vision Transformer and Efficient-Net and... | |
| 4 | TCMAPY2330 | AiBased Deep Learning Technique for Electricity Demand and Peak Load F... | |
| 5 | TCMAPY2329 | Multimodal Emotion recognition | |
| 6 | TCMAPY2316 | PneuXNet An Enhanced Feature Extraction and Transformation Approach fo... | |
| 7 | TCMAPY2315 | Optimized Deep Learning Framework for Early Detection of Rice Leaf Dis... | |
| 8 | TCMAPY2314 | MSA-ENet Multi-Scale Attention Enhanced Network for Kidney Stone Detec... | |
| 9 | TCMAPY2308 | Deep Learning Approach for Real and Fake News Classification | |
| 10 | TCMAPY2307 | Enhancing Phishing Detection: A Machine Learning Approach with Feature... |
Project Code: TCMAPY2470
Project Title:EcoSmart An AIBased Waste Segregation, Recommendation, and Analytics SystemView DetailsProject Code: TCMAPY2455
Project Title:Adaptive Data Augmentation Techniques for Software Requirements Classification Using Deep LearningView DetailsProject Code: TCMAPY2361
Project Title:Clothing classification using Vision Transformer and Efficient-Net and CNNView DetailsProject Code: TCMAPY2330
Project Title:AiBased Deep Learning Technique for Electricity Demand and Peak Load ForecastingView DetailsProject Code: TCMAPY2316
Project Title:PneuXNet An Enhanced Feature Extraction and Transformation Approach for Pneumonia DetectionView DetailsProject Code: TCMAPY2315
Project Title:Optimized Deep Learning Framework for Early Detection of Rice Leaf Diseases Using CNNSVM and FRRSALeNet ModelsView DetailsProject Code: TCMAPY2314
Project Title:MSA-ENet Multi-Scale Attention Enhanced Network for Kidney Stone Detection in Ultrasound ImagesView DetailsProject Code: TCMAPY2308
Project Title:Deep Learning Approach for Real and Fake News ClassificationView DetailsProject Code: TCMAPY2307
Project Title:Enhancing Phishing Detection: A Machine Learning Approach with Feature Selection and Deep Learning ModelsView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY2470 | EcoSmart An AIBased Waste Segregation, Recommendation, and Analytics S... | |
| 2 | TCMAPY2455 | Adaptive Data Augmentation Techniques for Software Requirements Classi... | |
| 3 | TCMAPY2361 | Clothing classification using Vision Transformer and Efficient-Net and... | |
| 4 | TCMAPY2330 | AiBased Deep Learning Technique for Electricity Demand and Peak Load F... | |
| 5 | TCMAPY2329 | Multimodal Emotion recognition | |
| 6 | TCMAPY2316 | PneuXNet An Enhanced Feature Extraction and Transformation Approach fo... | |
| 7 | TCMAPY2315 | Optimized Deep Learning Framework for Early Detection of Rice Leaf Dis... | |
| 8 | TCMAPY2314 | MSA-ENet Multi-Scale Attention Enhanced Network for Kidney Stone Detec... | |
| 9 | TCMAPY2308 | Deep Learning Approach for Real and Fake News Classification | |
| 10 | TCMAPY2307 | Enhancing Phishing Detection: A Machine Learning Approach with Feature... |
Project Code: TCMAPY2470
Project Title:EcoSmart An AIBased Waste Segregation, Recommendation, and Analytics SystemView DetailsProject Code: TCMAPY2455
Project Title:Adaptive Data Augmentation Techniques for Software Requirements Classification Using Deep LearningView DetailsProject Code: TCMAPY2361
Project Title:Clothing classification using Vision Transformer and Efficient-Net and CNNView DetailsProject Code: TCMAPY2330
Project Title:AiBased Deep Learning Technique for Electricity Demand and Peak Load ForecastingView DetailsProject Code: TCMAPY2316
Project Title:PneuXNet An Enhanced Feature Extraction and Transformation Approach for Pneumonia DetectionView DetailsProject Code: TCMAPY2315
Project Title:Optimized Deep Learning Framework for Early Detection of Rice Leaf Diseases Using CNNSVM and FRRSALeNet ModelsView DetailsProject Code: TCMAPY2314
Project Title:MSA-ENet Multi-Scale Attention Enhanced Network for Kidney Stone Detection in Ultrasound ImagesView DetailsProject Code: TCMAPY2308
Project Title:Deep Learning Approach for Real and Fake News ClassificationView DetailsProject Code: TCMAPY2307
Project Title:Enhancing Phishing Detection: A Machine Learning Approach with Feature Selection and Deep Learning ModelsView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY2470 | EcoSmart An AIBased Waste Segregation, Recommendation, and Analytics S... | |
| 2 | TCMAPY2455 | Adaptive Data Augmentation Techniques for Software Requirements Classi... | |
| 3 | TCMAPY2361 | Clothing classification using Vision Transformer and Efficient-Net and... | |
| 4 | TCMAPY2330 | AiBased Deep Learning Technique for Electricity Demand and Peak Load F... | |
| 5 | TCMAPY2329 | Multimodal Emotion recognition | |
| 6 | TCMAPY2316 | PneuXNet An Enhanced Feature Extraction and Transformation Approach fo... | |
| 7 | TCMAPY2315 | Optimized Deep Learning Framework for Early Detection of Rice Leaf Dis... | |
| 8 | TCMAPY2314 | MSA-ENet Multi-Scale Attention Enhanced Network for Kidney Stone Detec... | |
| 9 | TCMAPY2308 | Deep Learning Approach for Real and Fake News Classification | |
| 10 | TCMAPY2307 | Enhancing Phishing Detection: A Machine Learning Approach with Feature... |
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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.
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.
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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, not projects of or by IEEE.
