Back close

Development of a Self-learning Software Prototype for Human Interaction using AI

Development of a Self-learning Software Prototype for Human Interaction using AI

We plan to develop a self-learning software prototype for human interactions using various models/techniques such as AI/ML, perceptive analysis, and natural language processing, and protocols running on IoT based devices (sensors, cameras, microphones, etc.). The main objective of the project is to develop an intelligent software that learns from past interactions and should be able to self assess the environment and perform appropriate action/reaction/recommendation automatically without having any explicit instructions from users.

Related Projects

Interaction Estimation and Optimization Method for Surveillance Video Synopsis
Interaction Estimation and Optimization Method for Surveillance Video Synopsis
A Micro-Grid Test-bed Laboratory – with a view: Transition towards Smart-Grid Knowledge Centre
A Micro-Grid Test-bed Laboratory – with a view: Transition towards Smart-Grid Knowledge Centre
Oncogene Sensing and Finger Printing from Saliva Using Nanotechnology-enabled Using Raman Spectroscopy
Oncogene Sensing and Finger Printing from Saliva Using Nanotechnology-enabled Using Raman Spectroscopy
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Hardware Based Network Intrusion Detection System (NIDS) for High Speed Networks
Wearable Assistive Device – Uttarakhand Deployment
Wearable Assistive Device – Uttarakhand Deployment
Admissions Apply Now