BTech Projects 2016-2017 in Chennai


Real Time provides projects in Chennai is a partial requirement for students to efficiently entire their b. tech degree. there’s an honest attempt by way of the engineering institutes to broaden an ordinary knowledge approximately the area in preference to just restricting pupil’s know-how to textbooks. we provide 2012, 2013, 2014, 2015, 2016, 2017 it is a superb idea to incorporate venture in the project centers in Chennai, as it makes the path a great deal more exciting and rewarding for the scholars.

Engineering students of different streams are expected to publish projects of their respective areas within the final 12 months. the reason at the back of the very last 12 months venture is to synthesize the theoretical and sensible work studied via the scholars within the preliminary three years of the course. to gain the real essence at the back of the final yr assignment, college students should search for progressive and sparkling thoughts for the undertaking that can be placed to sensible use. either the challenge can be primarily based on the implementation of any software-orientated trouble or it is able to be primarily based on a few innovative and theoretical works.

The scholars need to constantly do the tasks on the topics on which they have interest and that they have enjoyed getting to know in the course of their course. college students should always understand that it’s far constantly better to work on topics on which they’ve hobby in preference to working on subjects which are easy.

IEEE B.TECH LIST 2016-2017

SNO Projects List
1 Secure One Size Does Not Fit All Towards User- and Query-Dependent Ranking For Web Databases
2 Efficient Computation of Range Aggregates against Uncertain Location Based Queries
3 Tree-Based Mining for Discovering Patterns of Human Interaction in Meetings(2012)
4 Scalable Learning of Collective Behavior(2012)
5 Efficient audit service outsourcing for data integrity in clouds
7 Expert Discovery and Interactions in Mixed Service-Oriented Systems
8 View-invariant action recognition based on Artificial Neural Networks
9 Robust Face-Name Graph Matching for Movie Character Identification
10 Revisiting Defenses against Large-Scale Online Password Guessing Attacks