Top IEEE Projects For CSE | Trending IEEE Project Titles

The following is a curated list of trending IEEE project titles and domains suitable for final-year projects, categorized by technology.

1. Artificial Intelligence & Machine Learning (AI/ML)

Current Trend: Moving beyond simple prediction to “Explainable AI” (XAI) and multi-modal systems (text + image).

DeepFake Detection using Deep Learning: developing a model (often using CNNs or GANs) to distinguish between real and AI-generated video/audio faces.
Mental Health Analysis via Social Media: utilizing Natural Language Processing (NLP) to analyze tweets or posts for signs of depression or anxiety, preserving user privacy.
AI-Powered Crop Disease Detection: a mobile-friendly system using Convolutional Neural Networks (CNN) to detect plant diseases from leaf images (often combined with an Android app).
Driver Drowsiness Detection System: a real-time computer vision project that monitors eye closure rates to alert drivers, preventing accidents.
Fake News Classification using BERT: implementing the BERT algorithm to classify news articles as real or fake with higher accuracy than traditional LSTM models.

Current Trend: Security in the cloud and offloading processing to the “Edge” (closer to the user) to save bandwidth.

Secure File Storage using Hybrid Cryptography: splitting files into chunks and encrypting them with different algorithms (AES, DES, RSA) before uploading to the cloud to ensure data security.
Task Offloading in Mobile Edge Computing: creating an algorithm that decides whether a task (like image processing) should be done on the user’s phone or sent to a nearby edge server to save battery.
Deduplication in Cloud Storage: a system that checks if a file already exists in the cloud before uploading, saving storage space while maintaining encryption.
Attribute-Based Access Control (ABAC) for Cloud Files: a security project where users can only decrypt files if they possess specific “attributes” (e.g., “Manager”, “IT Dept”), rather than just a password.

Current Trend: Combining IoT with AI (AIoT) for smarter decision-making without human intervention.

Smart Waste Management System: ultrasonic sensors on trash bins that transmit fill-levels to a central dashboard, optimizing garbage truck routes.
IoT-Based Patient Health Monitoring: wearable sensors (Simulated) transmitting pulse/temperature data to a cloud dashboard, alerting doctors of anomalies in real-time.
Smart Agriculture & Irrigation System: sensors monitoring soil moisture and temperature to automatically trigger water pumps only when necessary.
Women Safety Device using IoT: a wearable prototype that triggers an SOS alert with GPS coordinates when a panic button or specific gesture is activated.

Current Trend: Decentralization to prevent fraud and tampering in non-financial sectors.

Fake Product Identification using Blockchain: a system where manufacturers upload product QR codes to a blockchain; customers scan to verify authenticity, preventing counterfeits.
Secure E-Voting System: a decentralized voting app where votes are recorded as transactions on a blockchain, making them immutable and transparent.
Phishing Website Detection using ML: a cybersecurity tool that analyzes URL structure and website content to flag potential phishing sites in real-time.
Blockchain-Based Electronic Health Records (EHR): a system allowing patients to own their medical data and grant temporary access to doctors via smart contracts.

Select a “Base Paper”: IEEE projects are almost always based on an existing research paper (usually from 2023 or 2024). Your goal is to implement their proposed system and try to improve one metric (e.g., accuracy, speed, or security).
Check Feasibility: Ensure you have the hardware (e.g., Raspberry Pi for IoT) or dataset (e.g., Kaggle datasets for ML) before committing.
Hybrid Approaches: The highest-scoring projects often combine domains. Example: Blockchain-based IoT Security or Cloud-based Disease Prediction.