Thesis topics in MTech Computer Science are inclusive of different zones of advanced study and research areas such as artificial intelligence and machine learning, data science, cybersecurity among others. These topics are meant to go beyond what we currently have in technological advancement and deal with new issues arising in the sphere. For example, students may set out to understand the implications of advanced techniques in data analysis, the implementation of advanced security protocols, or new forms of blockchain utilization. Such a diverse list of topics also indicates that this field is evolving, and when students graduate and join the workforce, they can advance technology in the respective fields.
Besides the questions of theory, which are studied in many cases, MTech thesis topics tend to address practical concerns as well as focus on the specifics of the enterprise field. They are urged to focus on topics that make an impact in the society coming up with solutions that may be adopted in different organizations. This approach serves to narrow down the existing gap between theory and practice to aid graduate assignments and their work in achieving a significant and realistic implication. Through these research areas students not only improve their technical knowledge but also experience necessary for improving their positions in the constantly developing field of IT technologies.
| Project Topics | Abstracts | Get Help |
|---|---|---|
| 1. GENDER DIFFERENCES IN AUTISM SPECTRUM DISORDER: INVESTIGATING THE ROLE OF NEONATAL JAUNDICE | Abstract | Get Help |
| 2. OPTIMIZING HEALTHCARE WITH MACHINE LEARNING: PROTECTING FINANCES AND IMPROVING DIAGNOSIS | Abstract | Get Help |
| 3. ENAHNCING BRAIN TUMOR DETECTION ACCURACY THROUGH AN ASSEMBLE OF YOLOV5 AND SEGEMNT ANY THING MODEL(SAM) | Abstract | Get Help |
| 4. ROAD CRACK DETECTION AND SEGMENTATION USING TWO-PHASE CONVOLUTIONAL NEURAL NETWORK | Abstract | Get Help |
| 5. SENTIMENT CLASSIFICATION ON SUICIDE NOTES USING DEEP LEARNING | Abstract | Get Help |
| 6. A COMPARATIVE STUDY OF FAKE NEWS DETECTION USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES | Abstract | Get Help |
| 7. AN ENHANCED AND EFFICIENT CHARACTER RECOGNITION SYSTEM USING C | Abstract | Get Help |
| 8. DETECTING HATE IN MULTIMODAL MEMES USING MACHINE LEARNING | Abstract | Get Help |
| 9. RECOMMENDER SYSTEM USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES | Abstract | Get Help |
| 10. EXPLORING ADVANCED TECHNIQUES AND ENHANCING SOFTWARE QUALITY ASSURANCE THROUGH MACHINE LEARNING-BASED FAULT PREDICTION | Abstract | Get Help |
