The Computer Science and Engineering (CSE) Department encourages innovation and hands-on learning through student projects in Artificial Intelligence, Machine Learning, Robotics, Cybersecurity, Internet of Things (IoT), Deep Learning, Data Analytics, and Software Development. These projects address real-world challenges in healthcare, agriculture, smart cities, traffic management, and information systems, fostering technical skills, creativity, and problem-solving abilities.
- Real-time AI and robotics: a collaborative project by students and faculty-ANVISHA
- Obstacle-avoiding robot
- Employee management system
- Student management system
- Digital bulletins & messaging framework
- Intrusion detection system using data mining
- Smart city application development and system integration
- Criminal face identification system
- Warehouse management system
- Crime rate prediction using k-means algorithm
- Analysis of skin cancer detection using deep learning
- An efficient machine learning technique based on support vector for traffic sign classification
- Artificial intelligence in telemedicine for cardiovascular diseases
- Monitoring the critical parameters of vehicle systems through an IoT-based network
- Optimisation accuracy of software defect prediction using random forest machine learning algorithm
- Machine learning-based network intrusion detection on the NSL-KDD dataset
- Improved risk management model of cyber security using advanced fuzzy model
- Optimisation analysis of distributed denial-of-service attacks in cyber security based on machine learning
- Image-based deep learning for detecting leaf diseases in crops