Deep Learning Projects


At IEEE Project Center, our goal is to equip individuals and businesses in Chennai with the transformative capabilities of Deep Learning in Machine Learning. We endeavor to bridge the divide between theoretical understanding and real-world implementation, cultivating a community of proficient professionals.

Who We Are

IEEE Project Center stands as a leading institution in Chennai, committed to offering hands-on, real-world projects within the realm of Machine Learning. Prioritizing practical learning, our objective is to furnish students with the requisite skills and firsthand experience essential for success in the dynamic technology landscape.

Why Choose IEEE Project Center?

Practical Learning: Immerse yourself in our projects tailored to offer hands-on, real-world experience, enabling you to translate theoretical knowledge into practical applications.

Expert Mentorship: Benefit from the guidance of seasoned professionals who bring their industry expertise and insights into the classroom, fostering your growth.

Cutting-edge Innovation: Stay at the forefront of technology with projects integrating the latest advancements in Deep Learning and Machine Learning at the IEEE Project Center in Chennai.


At the IEEE Project Center in Chennai, our seasoned team offers tailored guidance to ensure your project’s success. Whether it’s conceptualization or implementation, we stand by you at every stage, providing personalized support throughout.

Workshops and Training

Boost your skills with our workshops and training sessions, designed to keep you abreast of the latest tools and techniques in Deep Learning and Machine Learning.

Industry Collaborations


We partner with industry leaders to present projects tackling real-world challenges, providing you with exposure to industry practices and opportunities to forge valuable connections.

SNO Projects List
1 A System to Filter Unwanted Messages from OSN User Walls
2 Sensitive Label Privacy Protection on Social Network Data
3 A Generalized Flow-Based Method for Analysis of Implicit Relationships on Wikipedia
4 Annotating Search Results From Web Databases
5 Crowdsourcing Predictors of Behavioral Outcomes
6 FoCUS Learning to Crawl Web Forums
7 Multiparty Access Control for Online Social Networks Model and Mechanisms
8 Spatial Approximate String Search
1 A Load Balancing Model Based on Cloud Partitioning for the Public Cloud
1 Enabling Cloud Storage Auditing With Key-Exposure Resistance
2 CAM Cloud-Assisted Privacy Preserving Mobile Health Monitoring
1 Overhead of using secure wireless communications in mobile computing
1 Two Tales of Privacy in Online Social Networks
2 CloudMoV Cloud-based Mobile Social TV
3 Fully Anonymous Profile Matching in Mobile Social Networks