Welcome to IEEE Project Centre in Chennai, where innovation meets opportunity. Our 2018-2019 software engineering projects are your gateway to the world of cutting-edge technology and software development. In an era where software is at the heart of every industry, these projects are designed to equip you with the skills and knowledge you need to thrive.

Why Choose IEEE Project Centre Chennai for 2018-2019 Software Engineering Projects?

Guidance from Experts: Our projects come with the guidance of seasoned professionals who bring real-world experience to the table, ensuring you’re learning industry-relevant skills.

Real-World Impact: These projects are inspired by genuine industry challenges, giving you the opportunity to tackle problems that matter and make a meaningful impact.

Cutting-Edge Technologies: Stay ahead of the curve by working with the latest tools, technologies, and frameworks that are shaping the software engineering landscape.

Career Growth: Enhance your career prospects by gaining hands-on experience that sets you apart in the competitive job market. Your resume will thank you.

Network with Peers: Collaborate with like-minded peers, engage in group projects, and establish connections with industry experts who can offer valuable insights and opportunities.

Our 2018-2019 software engineering projects cover a wide range of domains, from mobile app development to web applications, machine learning, and cybersecurity. These projects aren’t just about learning; they’re about empowering yourself to drive innovation and succeed in your software engineering career. The future of technology awaits, and IEEE Project Centre Chennai is your trusted partner on this exciting journey. Join us today and elevate your software engineering skills to new heights. Your future starts now.

SNO Projects List
1 Search Rank Fraud and Malware Detection in Google Play
2 Personal Web Revisitation by Context and Content Keywords with Relevance Feedback
3 Efficient Clue-based Route Search on Road Networks
4 Majority Voting and Pairing with Multiple Noisy Labeling
5 Filtering Out Infrequent Behavior from Business Process Event Logs
7 Detecting Stress Based on Social Interactions in Social Networks
8 Continuous Top-k Monitoring on Document Streams
9 Influence Maximization in Trajectory Databases
10 Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach
11 PPRank: Economically Selecting Initial Users for Influence Maximization in Social Networks
12 GALLOP: GlobAL feature fused Location Prediction for Different Check-in Scenarios