Latest IEEE Projects 2017
Text Recognition And Face Detection Aid For Visually Impaired Person Using Raspberry Pi
Implementation of Machine Learning for Gender Detection using CNN on Raspberry Pi Platform
Machine Learning in Video Surveillance for Fall Detection
Assistive Device for Blind, Deaf and Dumb People using Raspberry-pi.
A Comprehensive Exploration to the Machine Learning Techniques for Diabetes Identification.
Application of Text Classification and Clustering of Twitter Data for Business Analytics.
Classification of Cancerous Profiles using Machine Learning
Improved Anomaly Detection in Surveillance Videos Based on A Deep Learning Method
Deep Dive: An End-to-End Dehazing Method Using Deep Learning
What to play next? A RNN-based music recommendation system
Im2Calories: towards an automated mobile vision food diary
Breast Cancer Relapse Prognosis by Classic and Modern Structures of Machine Learning Algorithms
Effective Stress Detection using Physiological Parameters
Application of Data Mining Methods in Diabetes Prediction
Big Data Analytics:Predicting Academic Course Preference Using Hadoop Inspired MapReduce
Anonymous Data Sharing Scheme in Public Cloud and Its Application in E-health Record
Customized Bundle Recommendation by Association Rules of Product Categories for Online Supermarkets
K-nearest correlated neighbor classification for Indian sign language gesture recognition using feature fusion
Fire detection using infrared images for UAV-based forest fire surveillance
- Work on real time project to get hands on experience before graduation this will help the students to get the competitive edge for various jobs in industry.
- Interns can interact with industry experts for guidance and mentorship.
- Gain excellent communication, interpersonal and team building skills.
- Projects will be explained online face to face via Gtalk or Skype.
- Project will be executed in your laptop or PC using remote support software’s (Teamviwer Access).
- Supporting materials & Documentations would be forwarded to your mail id’s.