At IEEE Project Centre Chennai, we’re proud to present our 2013-2014 Software Engineering Projects, a testament to our commitment to excellence in the world of technology and innovation. These projects are designed to ignite your passion for software engineering and provide you with a hands-on learning experience that will set the stage for a successful career.

Our projects cover a wide spectrum of software engineering domains, from web and mobile app development to data analytics and artificial intelligence. By participating in these projects, you’ll have the opportunity to work on real-world challenges, refine your coding skills, and gain valuable insights into the intricacies of software development.

Why Choose IEEE Project Centre Chennai for 2013-2014 Software Engineering Projects?

Expert Guidance: Benefit from the mentorship of seasoned professionals who will guide you through the projects, ensuring you grasp the core concepts.

Practical Experience: Put theory into practice by working on projects that mimic real industry scenarios, enhancing your problem-solving abilities.

Cutting-Edge Technologies: Stay at the forefront of technology by working with the latest tools and frameworks used in software engineering.

Resume Enhancement: Boost your resume with practical project experience that will impress potential employers.

Networking Opportunities: Connect with like-minded individuals and industry experts, expanding your professional network.

Join us on a journey of discovery and skill-building as you dive into the world of software engineering through our 2013-2014 projects. These projects are not just about learning; they’re about transformation and empowerment. Embrace the future with IEEE Project Centre Chennai and unlock your full potential in software engineering. Your coding adventure begins here.

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