Welcome to our comprehensive collection of IEEE projects for Computer Science Engineering (CSE), featuring detailed abstracts and base papers. This page serves as a one-stop resource for students, researchers, and professionals looking to explore and develop cutting-edge projects in the field of EEE
This guide categorizes IEEE CSE projects by domain—AI/ML, Cybersecurity, Web and Software Development, IoT, and Blockchain—offering abstracts and base papers to bridge theoretical knowledge with practical implementation across cutting-edge technology areas.
ML/AI projects tackle classification, anomaly detection and explainability—such as Dark Web detection, fraud prevention, and maintenance predictions—bridging theory with real-world data-driven systems using deep learning
Cybersecurity projects focus on detecting network threats by leveraging hierarchical machine learning and deep learning techniques to identify DDoS attacks, phishing campaigns, and malicious URLs
Software development projects deliver full‑stack and UI/UX capable systems—recommendation engines for education/finance, student‑risk and sentiment analysis tools, and defect‑prediction models
IoT and embedded systems projects span connected‑sensor deployments—targeting botnet intrusion detection, environmental monitoring (groundwater, water quality), optimized e‑scooter logistics
Projects in distributed infrastructure explore blockchain‑backed federated learning and big data analytics—such as fraud detection in EVs, energy forecasting, and multi‑source healthcare mining