Top 10 Deep Learning Projects for B.Tech

Deep Learning is an evolving sector with wide techs like computers and tablets, which could learn by relying on the relevant data and programming. This sector keeps on evolving as a futuristic concept, and possess the potential to fulfill the necessity of diverse people. For instance, the mostly utilized tools like virtual assistants or techs enabling the speech recognition are found to be relying on this every sector of deep learning. In this article, we will discuss about the top 10 deep learning projects for BTech to help the students to do their deep learning-based projects. By going through the below curated Top 10 Deep Learning Projects for BTech, the relevant project pursuing students can know what to expect as a beginner.

The Top 10 Deep Learning Projects for BTech for the computer science students to learn, gain, and master skills for successful project execution:

1. Classification of Poetry Text Into the Emotional States Using Deep Learning Technique 

The emotions with regards to the poetic texts might often be identified with the help of subject expert. However, it might be difficult for non-subject expert to attempt this.

By inculcating the prospects of the state-of-the art deep learning concepts, the categorization of poetic texts into several emotions like fear, happiness, sadness, anger, and neural is eased with the deployment of two approaches like GRU- Gated recurrent units and Bi-LSTM- Bi-directional Long Short-Term Memory.

For the successful completion of projects based on the deep learning genre, the students often need to learn, gain, and master certain concepts/ skillsets. Those skillsets/ concepts are as follows: basics of data structures; basics of the subject computer science; techs related to front/ back ends and User Interfaces; suitable programming languages; fundamental of AI-Artificial Intelligence; emotions; fundamental of English language; fundamentals of traditional ML- Machine Learning; Mathematical computations; etc.

2. A Single Neural Network for Mixed Style License Plate Detection and Recognition

Because of the technological improvements, it has become possible to identify and fetch every detail of a vehicle just identifying its license plate.

With the successful integration of OCR- Optical Character Recognition as well as the YOLO- You Only Look Once, it has become much smoother identify and fetch every detail of a vehicle with the simple scan of its license plate.

For the successful completion of projects based on the deep learning genre, the students often need to learn, gain, and master certain concepts/ skillsets. Those skillsets/ concepts are as follows: basics of data structures; basics of the subject computer science; basic understanding of the image processing routines; Transport and automobile systems; techs related to front/ back ends and User Interfaces; OCR; suitable programming languages; fundamental of AI-Artificial Intelligence; fundamentals of traditional ML- Machine Learning; Mathematical computations; etc.

3. A Residual Chaotic System for Image Security and Digital Video Watermarking

As the multi-media has become much diverse, the security of those media often becomes a questionable aspect.

This very security aspect of these diverse mulita-medias could be enhanced by adapting the additional security layers like watermarking with the deployment of RCS- Residual Chaotic System and RNS- Residue Number System.

For the successful completion of projects based on the deep learning genre, the students often need to learn, gain, and master certain concepts/ skillsets. Those skillsets/ concepts are as follows: basics of data structures; basics of the subject computer science; security systems; techs related to front/ back ends and User Interfaces; basics of multi-medias in computer science; suitable programming languages; fundamental of AI-Artificial Intelligence; fundamentals of traditional ML- Machine Learning; Mathematical computations; etc.

4. Deep Learning Based Fusion Approach for Hate Speech Detection 

The speech detection has gained an immense attention from the context of psychology subject. Thereby identifying the emotion that’s hidden in any speech has become prevalent in the scholarly world.

The deep learning dependent methodologies like CNN- Convolutional Neural Network; BERT- Bidirectional Encoder Representation from Transformers; and ELMo- Embeddings from Language Models could be fused and used for knowing the deeper meanings hidden in any text of the speech delivered by any person for specifically identifying the tract of hatred prevailing in them. 

For the successful completion of projects based on the deep learning genre, the students often need to learn, gain, and master certain concepts/ skillsets. Those skillsets/ concepts are as follows: basics of data structures; basics of the subject computer science; text classification systems; techs related to front/ back ends and User Interfaces; suitable programming languages; speech recognition system basics; fundamental of AI-Artificial Intelligence; fundamentals of traditional ML- Machine Learning; CNN; Mathematical computations; etc.

5. Evaluation of Deep Learning Techniques in Sentiment Analysis from Twitter Data

Because of the increased attention of numerous researchers, the deep learning approaches have gained an immense attention. As a result, the same gets prevalently deployed for the sentiment investigation.

A comparative investigation of three models like CNN; NLP- National Language Processing; and RNN- Recurrent Neural Networks could be made with regards to the sentiment investigation of the twitter-specific info.

For the successful completion of projects based on the deep learning genre, the students often need to learn, gain, and master certain concepts/ skillsets. Those skillsets/ concepts are as follows: basics of data structures; basics of the subject computer science; sentimental analysis; techs related to front/ back ends and User Interfaces; suitable programming languages; social media networks; NLP; fundamental of AI-Artificial Intelligence; fundamentals of traditional ML- Machine Learning; Mathematical computations; RNN; CNN; etc.

6. 3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images

The risks of cancer have increased a lot over the years. So, the diagnosing approaches are also prone to certain developments making use of state-of-the-art concepts.

With the deployment of deep learning approach like YOLO, the identification of the cancer presence in the prostate glands of the males could be easily done by properly analyzing the 3-D MRI- Magnetic Resonance Imaging results. 

For the successful completion of projects based on the deep learning genre, the students often need to learn, gain, and master certain concepts/ skillsets. Those skillsets/ concepts are as follows: basics of data structures; basic understanding of diagnostics; basics of the subject computer science; health care systems; techs related to front/ back ends and User Interfaces; Image processing; suitable programming languages; fundamental of AI-Artificial Intelligence; fundamentals of traditional ML- Machine Learning; Mathematical computations; etc.

7. Clement Machine Learning Methods For Malware Recognition Based On Semantic Behaviours 

As we live in the age of digitalization, it has become much obvious to come across several kinds of malwares in the digital world.

Therefore, NLP, LSTM, and CNN could be used and integrated appropriately to identify and act on the risks posed by the most dangerous malwares with its sematic behaviours.

For the successful completion of projects based on the deep learning genre, the students often need to learn, gain, and master certain concepts/ skillsets. Those skillsets/ concepts are as follows: basics of data structures; basics of the subject computer science; CNN; techs related to front/ back ends and User Interfaces; suitable programming languages; Malwares; fundamental of AI-Artificial Intelligence; NLP; fundamentals of traditional ML- Machine Learning; Mathematical computations; etc.

8. Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach 

Those who can’t hear often might find it difficult to communicate with other normal persons as they primarily depend on the sign language for their communication.

Therefore, an efficient sign language communication approach might be developed with the capability to establish the smoother communication by creating the EMG- Electromyographic hand gesture signals by using OpenCV and CNN.

For the successful completion of projects based on the deep learning genre, the students often need to learn, gain, and master certain concepts/ skillsets. Those skillsets/ concepts are as follows: basics of data structures; basics of the subject computer science; OpenCV; techs related to front/ back ends and User Interfaces; suitable programming languages; Hand gesture basics; communication systems; fundamental of AI-Artificial Intelligence; CNN; fundamentals of traditional ML- Machine Learning; Mathematical computations; etc.

9. Research on Medical Image Classification Based on Machine Learning 

The image classification approaches have gained significant importance due to the emergence to classify different types of diseases caused in human beings.

With the utilization of ML techniques, the results of the currently available image-based diagnostic technique- CT could be understood in a better and quicker succession. This image classification methodology could be able to detect the ailments in both the chest and brain.

For the successful completion of projects based on the deep learning genre, the students often need to learn, gain, and master certain concepts/ skillsets. Those skillsets/ concepts are as follows: basics of data structures; basics of the subject computer science; health care systems; techs related to front/ back ends and User Interfaces; suitable programming languages; Science of Diagnostics; fundamental of AI-Artificial Intelligence; image processing basics; fundamentals of traditional ML- Machine Learning; Mathematical computations; etc.

10. Satellite Image Classification Method Using ELBP and SVM Classifier 

The risks of fires in the wild forest could be more devastating when it is not cut down in a timely manner. Thus, there is a requirement to devise an automated surveillance system that could immediately alert the concerned officials to take immediate course of actions to stop the fire.

A more efficient and automated wildfire alerting system could be developed by using the approaches like SVM- Support Vector Machine and ELBP- Extended Local Binary Patterns to detect the risks of fires in the wild forest with the applicable processing of forest images from the nearby satellite from time to time.For the successful completion of projects based on the deep learning genre, the students often need to learn, gain, and master certain concepts/ skillsets. Those skillsets/ concepts are as follows: basics of data structures; basics of the subject computer science; techs related to front/ back ends and User Interfaces; suitable programming languages; fundamental of AI-Artificial Intelligence; fundamentals of traditional ML- Machine Learning; Mathematical computations; etc.