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

Fluvial Geomorphological Dynamics and Flood Modelling: An Integrated Geospatial Artificial Intelligence  (GEOAI) Approach
Fluvial Geomorphological Dynamics and Flood Modelling: An Integrated Geospatial Artificial Intelligence  (GEOAI) Approach
Influence of Boron Carbide Addition on Neutron Shielding Ability of Cement Mortar Mix
Influence of Boron Carbide Addition on Neutron Shielding Ability of Cement Mortar Mix
Seabuckthorn – A Repository of Bioactive Phytochemicals
Seabuckthorn – A Repository of Bioactive Phytochemicals
Synthesis, Characterization and Liquid Crystalline Studies of 1,3-bis(4-pyridyl) Propane Bridged Dicobaloximes
Synthesis, Characterization and Liquid Crystalline Studies of 1,3-bis(4-pyridyl) Propane Bridged Dicobaloximes
Design and Analysis of Dual Frequency Quarter-Wave Shorted Microstrip Patch Antenna for Satellite MIMO
Design and Analysis of Dual Frequency Quarter-Wave Shorted Microstrip Patch Antenna for Satellite MIMO
Admissions Apply Now