Embark on a journey through the latest in technology with our MTech | B.Tech | Ph.D Computer Science projects, designed for the dynamic field of Artificial Intelligence. Explore intelligent systems, machine learning, and innovative solutions—from natural language processing to computer vision—offering a glimpse into the future of technology. Each project title represents months of dedication, research, and hands-on experimentation, demonstrating both theoretical knowledge and practical skills essential for success in computer science. We invite you to browse through our projects, each of which stands as a testament to the passion and commitment of our students in leveraging Artificial Intelligence to push the boundaries of what’s possible. Join us on this exploration of the future as we unveil the projects that merge the worlds of Computer Engineering and Artificial Intelligence.
Projects Topics List In Artificial Intelligence
Project Topics | Base Paper | Abstract |
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1. A hybrid approach for face recognition using a convolutional neural network combined with feature extraction techniques. Get Help | Download | Abstract |
2. Modeling of an artificial intelligence based enterprise callbox with natural language processing and machine learning algorithms. Get Help | Download | Abstract |
3. HE-YOLOv5s:Efficient Road Defect Detection Network. Get Help | Download | Abstract |
4. Automated Pavement Crack Segmentation Using U-Net-Based Convolutional Neural Network. Get Help | Download | Abstract |
5. A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning. Get Help | Download | Abstract |
6. Towards a Human-like Open-Domain Chatbot. Get Help | Download | Abstract |
7.Towards an open-domain chatbot for language practice. Get Help | Download | Abstract |
8.EfficienDet: Scalable and Efficient Object Detection. Get Help | Download | Abstract |
9.Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study. Get Help | Download | Abstract |
10.Artificial intelligence in radiology: 100 commercially available products and their scientific evidence. Get Help | Download | Abstract |