Latest IEEE Projects 2017
Assistive Device for Blind, Deaf and Dumb People using Raspberry-pi.
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
Improved Anomaly Detection in Surveillance Videos Based on A Deep Learning Method
What to play next? A RNN-based music recommendation system
Application of Text Classification and Clustering of Twitter Data for Business Analytics.
Classification of Cancerous Profiles using Machine Learning
Deep Dive: An End-to-End Dehazing Method Using Deep Learning
A Comprehensive Exploration to the Machine Learning Techniques for Diabetes Identification.
Im2Calories: towards an automated mobile vision food diary
Application of Data Mining Methods in Diabetes Prediction
Breast Cancer Relapse Prognosis by Classic and Modern Structures of Machine Learning Algorithms
Effective Stress Detection using Physiological Parameters
Comparative study of color iris recognition: DCT vs. vector quantization approaches in rgb and hsv color spaces
An Analytic Gabor Feedforward Network for Single-sample and Pose-invariant Face Recognition
Application of Text Classification and Clustering of Twitter Data for Business Analytics
Efficient Client-Side Deduplication of Encrypted Data with Public Auditing in Cloud Storage
Bilateral Two-Dimensional Neighborhood Preserving Discriminant Embedding for Face Recognition
Privacy-preserving Search over Encrypted Personal Health Record in Multi-Source Cloud
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.