MTech | B.Tech | Ph.D Project Topics in Computer Science

By: Engineer's Planet

Embark on an enriching academic journey with our meticulously curated selection of MTech | B.Tech | Ph.D project topics in Computer Science for 2024. Aligned with trending IEEE base papers, this compilation serves as a guiding light for MTech enthusiasts seeking innovative projects accompanied by concise abstracts and associated base papers.

This project proposes a hybrid face recognition method combining CNNs with HOG, SIFT, Gabor, and Canny feature extraction techniques, enhancing accuracy under variations like lighting and pose using optimized activation and training functions.

1. A hybrid approach for face recognition

This project models an AI-based enterprise callbot using NLP and machine learning algorithms. SVM achieved the best performance, significantly improving cost efficiency, response time, and service quality compared to human agents.

2. Modeling of an artificial intelligenc

This project enhances road defect detection by optimizing YOLOv5s, reducing parameters, improving feature fusion with an SPPF module, and integrating attention mechanisms—achieving faster, accurate detection with better efficiency, despite limited generalization

3. Efficient Road Defect Detection Network

This project uses a U-Net-based CNN with a ResNet-34 encoder for automated pavement crack segmentation, reducing feature engineering needs and improving accuracy. A one-cycle learning rate schedule accelerates training convergence effectively.

4. Automated Pavement Crack Segmentation

In conclusion, These projects showcase innovative applications of AI in diverse fields, combining deep learning, NLP, and optimization techniques to solve real-world challenges. They demonstrate enhanced accuracy, efficiency, and cost-effectiveness, making them ideal for advanced academic research and practical implementation in MTech, B.Tech, and Ph.D. level AI projects.