As a BTech (Bachelor of Technology) student, you have the opportunity to showcase your skills and knowledge in a specific field of engineering or technology through a research-based project. These BTech projects are an essential part of your academic journey and provide you with hands-on experience in solving real-world problems.
At Takeoff Projects, we understand the importance of finding the perfect BTech project that aligns with your interests and career goals. That's why we have created a platform that offers a wide range of project ideas and topics for BTech students, covering various fields such as computer science, mechanical engineering, electrical engineering, and more. Each project idea includes a detailed project description, a list of required skills, and the project supervisor.
Project Code: TMMASP170
Project Title:Feature Extraction and Analysis of Speech Signal Based on Fractional Fourier TransformView DetailsProject Code: TMMASP169
Project Title:A Novel Approach to Speech Signal Segmentation Based on Time-Frequency AnalysisView DetailsProject Code: TMMASP168
Project Title:ECG Signal Extraction Method Based on Singular Value Selection and WaveletView DetailsProject Code: TMMASP166
Project Title:EEG Signal Processing and Emotion Recognition Using Convolutional Neural NetworkView DetailsProject Code: TMMASP165
Project Title:EEG based early detection of Autism by using KNN or SVMView DetailsProject Code: TMMASP163
Project Title:Early detection of Alzheimer’s disease from EEG signals using Hjorth parametersView DetailsProject Code: TMMASP56
Project Title:Classification Of 41 Hand And Wrist Movements Via Surface Electromyogram Using Deep Neural NetworkView DetailsProject Code: TMMASP55
Project Title:Automatic Modulation Classification using Principle Composition Analysis based Features SelectionView DetailsProject Code: TMMASP54
Project Title:ANNET-A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge SensorsView Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TMMASP170 | Feature Extraction and Analysis of Speech Signal Based on Fractional ... | |
2 | TMMASP169 | A Novel Approach to Speech Signal Segmentation Based on Time-Frequenc... | |
3 | TMMASP168 | ECG Signal Extraction Method Based on Singular Value Selection and Wa... | |
4 | TMMASP167 | Feature Extraction in Speech Signal Recognition | |
5 | TMMASP166 | EEG Signal Processing and Emotion Recognition Using Convolutional Neur... | |
6 | TMMASP165 | EEG based early detection of Autism by using KNN or SVM | |
7 | TMMASP163 | Early detection of Alzheimer’s disease from EEG signals using Hjorth p... | |
8 | TMMASP56 | Classification Of 41 Hand And Wrist Movements Via Surface Electromyogr... | |
9 | TMMASP55 | Automatic Modulation Classification using Principle Composition Analys... | |
10 | TMMASP54 | ANNET-A Lightweight Neural Network for ECG Anomaly Detection in IoT Ed... |
Project Code: TMMASP170
Project Title:Feature Extraction and Analysis of Speech Signal Based on Fractional Fourier TransformView DetailsProject Code: TMMASP169
Project Title:A Novel Approach to Speech Signal Segmentation Based on Time-Frequency AnalysisView DetailsProject Code: TMMASP168
Project Title:ECG Signal Extraction Method Based on Singular Value Selection and WaveletView DetailsProject Code: TMMASP166
Project Title:EEG Signal Processing and Emotion Recognition Using Convolutional Neural NetworkView DetailsProject Code: TMMASP165
Project Title:EEG based early detection of Autism by using KNN or SVMView DetailsProject Code: TMMASP163
Project Title:Early detection of Alzheimer’s disease from EEG signals using Hjorth parametersView DetailsProject Code: TMMASP56
Project Title:Classification Of 41 Hand And Wrist Movements Via Surface Electromyogram Using Deep Neural NetworkView DetailsProject Code: TMMASP55
Project Title:Automatic Modulation Classification using Principle Composition Analysis based Features SelectionView DetailsProject Code: TMMASP54
Project Title:ANNET-A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge SensorsView Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TMMASP170 | Feature Extraction and Analysis of Speech Signal Based on Fractional ... | |
2 | TMMASP169 | A Novel Approach to Speech Signal Segmentation Based on Time-Frequenc... | |
3 | TMMASP168 | ECG Signal Extraction Method Based on Singular Value Selection and Wa... | |
4 | TMMASP167 | Feature Extraction in Speech Signal Recognition | |
5 | TMMASP166 | EEG Signal Processing and Emotion Recognition Using Convolutional Neur... | |
6 | TMMASP165 | EEG based early detection of Autism by using KNN or SVM | |
7 | TMMASP163 | Early detection of Alzheimer’s disease from EEG signals using Hjorth p... | |
8 | TMMASP56 | Classification Of 41 Hand And Wrist Movements Via Surface Electromyogr... | |
9 | TMMASP55 | Automatic Modulation Classification using Principle Composition Analys... | |
10 | TMMASP54 | ANNET-A Lightweight Neural Network for ECG Anomaly Detection in IoT Ed... |
Project Code: TMMASP170
Project Title:Feature Extraction and Analysis of Speech Signal Based on Fractional Fourier TransformView DetailsProject Code: TMMASP169
Project Title:A Novel Approach to Speech Signal Segmentation Based on Time-Frequency AnalysisView DetailsProject Code: TMMASP168
Project Title:ECG Signal Extraction Method Based on Singular Value Selection and WaveletView DetailsProject Code: TMMASP166
Project Title:EEG Signal Processing and Emotion Recognition Using Convolutional Neural NetworkView DetailsProject Code: TMMASP165
Project Title:EEG based early detection of Autism by using KNN or SVMView DetailsProject Code: TMMASP163
Project Title:Early detection of Alzheimer’s disease from EEG signals using Hjorth parametersView DetailsProject Code: TMMASP56
Project Title:Classification Of 41 Hand And Wrist Movements Via Surface Electromyogram Using Deep Neural NetworkView DetailsProject Code: TMMASP55
Project Title:Automatic Modulation Classification using Principle Composition Analysis based Features SelectionView DetailsProject Code: TMMASP54
Project Title:ANNET-A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge SensorsView Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TMMASP170 | Feature Extraction and Analysis of Speech Signal Based on Fractional ... | |
2 | TMMASP169 | A Novel Approach to Speech Signal Segmentation Based on Time-Frequenc... | |
3 | TMMASP168 | ECG Signal Extraction Method Based on Singular Value Selection and Wa... | |
4 | TMMASP167 | Feature Extraction in Speech Signal Recognition | |
5 | TMMASP166 | EEG Signal Processing and Emotion Recognition Using Convolutional Neur... | |
6 | TMMASP165 | EEG based early detection of Autism by using KNN or SVM | |
7 | TMMASP163 | Early detection of Alzheimer’s disease from EEG signals using Hjorth p... | |
8 | TMMASP56 | Classification Of 41 Hand And Wrist Movements Via Surface Electromyogr... | |
9 | TMMASP55 | Automatic Modulation Classification using Principle Composition Analys... | |
10 | TMMASP54 | ANNET-A Lightweight Neural Network for ECG Anomaly Detection in IoT Ed... |
Not only do we provide you with the best project ideas, but we also offer additional resources and tips to help you successfully complete your BTech projects. From proposal writing to research methods, we have got you covered.
We take pride in promoting innovative and unconventional project ideas that challenge students to think outside the box and explore new and emerging technologies. Many students have found success by taking on BTech projects that address real-world problems and make a positive impact on society.
We are committed to providing you with the best support and resources to help you excel in your BTech projects and set you on the path to success. If you have any questions or need further assistance, please feel free to contact us.
Don't just settle for any project, choose one that will set you apart from the rest and give you the competitive edge in the job market. Take the first step today and browse through our website to find the perfect BTech projects for you!