AMITY CENTRE FOR ARTIFICIAL INTELLIGENCE

The Amity Centre for Artificial Intelligence actively collaborates with leading industry partners to address real-world challenges through innovative AI solutions.

Our faculty and students are engaged in cutting-edge research projects with global technology giants like Samsung and Thales, bridging the gap between academic research and industrial applications.

Company Name	Samsung Prism
Project Title	Detect Samsung Products in an Image
Industry Mentor(s)	Vamsi Krishna Agasthyaraju Sreenivasa Dhamaragunta Reddy
Amity Faculty Involved	Dr. Partha S Mangipudi Dr. Ritesh Maurya Prof. M.K. Dutta
Amity Students Involved	Harsh Raj, Achal Shankar Gupta, Harsh Verma, Nandini Biswas, Lucky Rajput.

Company Name	Samsung Prism
Project Title	AI/ML: Overlapping Sound Event Detection and Classification
Industry Mentor(s)	Rashmi T Shankarappa Sourabh Tiwari Gaurav
Amity Faculty Involved	Dr. Rinki Gupta Dr. Neetu Mittal Prof. M.K. Dutta
Amity Students Involved	Farhan, Ranesh Krishna, Akshay Tyagi, Saumya Gaikwad.

Company Name	Samsung Prism
Project Title	Music Classifier to Predict the Genre of the Background Music
Industry Mentor(s)	Shaik Jani Basha Lokesh Kumar Thandaga Nagaraju
Amity Faculty Involved	Mr. Karnati Mohan Dr. Vijay Kumar Tayal Prof. M.K. Dutta
Amity Students Involved	Utkarsh Chauhan, Sakshi Neeraj, Sunetra Bakshi, Sushma Singh.

Company Name
Project Title	Offensive Content Detection in Doodles & Sketches Using AI Models
Project Brief	This project focuses on developing AI models to detect offensive or harmful content in doodles and sketches using advanced computer vision and machine learning techniques.
Industry Mentor(s)	Gilles Durbec Anil Parashar
Amity Faculty Involved	Prof. M.K. Dutta Dr. Rakesh Chandra Joshi
Amity Students Involved	Nitya Pillai and Akshara Sharma
Project Status	The project is in its advanced testing phase, with early results showing promising accuracy in detecting offensive content.
Expected Outcome	The goal is to deploy a reliable system for real-time content monitoring on digital platforms.

Company Name
Project Title	Synthetic/Artificial Data Generation for Machine Learning Models
Project Brief	The aim here is to generate high-quality synthetic data to train machine learning models, particularly in scenarios where real-world data is scarce or hard to obtain.
Industry Mentor(s)	Gilles Durbec Anil Parashar
Amity Faculty Involved	Prof. M.K. Dutta Dr. Vijay Kumar Tayal
Amity Students Involved	Amisha Krishna Gupta and Anoushka Ishi Gupta
Project Status	This project is progressing with successful generation of synthetic datasets.
Expected Outcome	The expected outcome is a toolkit that can create synthetic data to enhance machine learning model training, especially where real data is limited.