IEEE Projects for CSE with Abstract and Base Paper

By: Engineer's Planet

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.

1. Bridging Theory and Practice

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

2. AI & Machine Learning Projects

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

3. Cybersecurity & Cryptography Projects

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

4. Web, Mobile & Software Development Projects

IoT and embedded systems projects span connected‑sensor deployments—targeting botnet intrusion detection, environmental monitoring (groundwater, water quality), optimized e‑scooter logistics

5. IoT & Embedded Systems Projects

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

5. Blockchain, Cloud Computing & Big Data Projects

In conclusion, IEEE projects for CSE in 2025 offer a powerful blend of theory and hands-on application across cutting-edge domains like AI, Cybersecurity, IoT, Software Development, and Blockchain. These projects not only enhance technical expertise but also prepare students for real-world innovation and industry relevance.