IEEE Domain Projects
Get IEEE Projects ideas at Takeoff projects that will cover your potential over major and minor ones designed for IEEE Projects for Engineering Students at Takeoff Projects. Our platform is empowered by impactful projects that present the most up-to-date technology in microcontrollers, sensor integration, and real-time data processing. Explore our exciting applications such as smart home automation, industrial robotics, and further advanced IoT solutions. Each project is well documented with circuit diagrams and source code that will help you to understand these complex concepts and implement them in practice. You will practice with Takeoff Projects, a field-tested outstanding portfolio, and the most seamless preparation for your future career in the already fast-evolving field of embedded systems. Time to bring your thoughts into life!
Project Code: TEMBMA3719
Project Title:Deep Learning Approaches for Speech Recognition SystemsView DetailsProject Code: TEMBMA3725
Project Title:Automated Leaf Damage Assessment and Crop Classification Using Convolutional Neural NetworksView DetailsProject Code: TEMBMA3724
Project Title:AI-Based Telugu Text Translator with Speech in Multiple LanguagesView DetailsProject Code: TEMBMA3722
Project Title:YOLOv8-Based Real-Time Detection of Plant Leaf DiseasesView DetailsProject Code: TEMBMA3692
Project Title:Work Place Safety: Machine Learning Techniques for Assessing Workplace Incident SeverityView DetailsProject Code: TEMBMA3691
Project Title:Early Detection and Self-Management of Diabetes Using Wearable Devices and Machine Learning ApplicationsView DetailsProject Code: TEMBMA3690
Project Title:Plant Disease Classification Using an Ensemble Learning Model of Convolutional Neural Networks and Vision TransformersView DetailsProject Code: TEMBMA3689
Project Title:Green Chili Classification using Deep Learning Models: CNN and VGGNetView DetailsProject Code: TEMBMA3688
Project Title:A Review of Metal Surface Defect Detection Technologies in Industrial ApplicationsView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TEMBMA3719 | Deep Learning Approaches for Speech Recognition Systems | |
| 2 | TEMBMA3725 | Automated Leaf Damage Assessment and Crop Classification Using Convolu... | |
| 3 | TEMBMA3724 | AI-Based Telugu Text Translator with Speech in Multiple Languages | |
| 4 | TEMBMA3722 | YOLOv8-Based Real-Time Detection of Plant Leaf Diseases | |
| 5 | TEMBMA3721 | Wild Animal Voice Recognition Using Deep Learning | |
| 6 | TEMBMA3692 | Work Place Safety: Machine Learning Techniques for Assessing Workplace... | |
| 7 | TEMBMA3691 | Early Detection and Self-Management of Diabetes Using Wearable Devices... | |
| 8 | TEMBMA3690 | Plant Disease Classification Using an Ensemble Learning Model of Convo... | |
| 9 | TEMBMA3689 | Green Chili Classification using Deep Learning Models: CNN and VGGNet | |
| 10 | TEMBMA3688 | A Review of Metal Surface Defect Detection Technologies in Industrial ... |
Project Code: TEMBMA3719
Project Title:Deep Learning Approaches for Speech Recognition SystemsView DetailsProject Code: TEMBMA3725
Project Title:Automated Leaf Damage Assessment and Crop Classification Using Convolutional Neural NetworksView DetailsProject Code: TEMBMA3724
Project Title:AI-Based Telugu Text Translator with Speech in Multiple LanguagesView DetailsProject Code: TEMBMA3722
Project Title:YOLOv8-Based Real-Time Detection of Plant Leaf DiseasesView DetailsProject Code: TEMBMA3692
Project Title:Work Place Safety: Machine Learning Techniques for Assessing Workplace Incident SeverityView DetailsProject Code: TEMBMA3691
Project Title:Early Detection and Self-Management of Diabetes Using Wearable Devices and Machine Learning ApplicationsView DetailsProject Code: TEMBMA3690
Project Title:Plant Disease Classification Using an Ensemble Learning Model of Convolutional Neural Networks and Vision TransformersView DetailsProject Code: TEMBMA3689
Project Title:Green Chili Classification using Deep Learning Models: CNN and VGGNetView DetailsProject Code: TEMBMA3688
Project Title:A Review of Metal Surface Defect Detection Technologies in Industrial ApplicationsView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TEMBMA3719 | Deep Learning Approaches for Speech Recognition Systems | |
| 2 | TEMBMA3725 | Automated Leaf Damage Assessment and Crop Classification Using Convolu... | |
| 3 | TEMBMA3724 | AI-Based Telugu Text Translator with Speech in Multiple Languages | |
| 4 | TEMBMA3722 | YOLOv8-Based Real-Time Detection of Plant Leaf Diseases | |
| 5 | TEMBMA3721 | Wild Animal Voice Recognition Using Deep Learning | |
| 6 | TEMBMA3692 | Work Place Safety: Machine Learning Techniques for Assessing Workplace... | |
| 7 | TEMBMA3691 | Early Detection and Self-Management of Diabetes Using Wearable Devices... | |
| 8 | TEMBMA3690 | Plant Disease Classification Using an Ensemble Learning Model of Convo... | |
| 9 | TEMBMA3689 | Green Chili Classification using Deep Learning Models: CNN and VGGNet | |
| 10 | TEMBMA3688 | A Review of Metal Surface Defect Detection Technologies in Industrial ... |
Takeoff Projects gives you different types of clever IEEE project answers to boost your tech skills and fresh ideas in projects. Takeoff Edu Group work on projects in the fields like electronics, telecommunications, and computer science made to fit the newest IEEE rules and what's hot in the industry. Takeoff projects zero in on smart tech you can use and Takeoff Edu Group help you from starting to ending with your successfull project. Our team of pros makes sure each project meets what you need for school and work helping you shine in a tough job market. Team up with Takeoff to get smart top-notch IEEE Projects for Engineering Students that lead to success and set new records in tech.
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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.
