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

Production, Optimization and Characterization of Chitinase Enzyme Produced By Aspergillus Sp
Production, Optimization and Characterization of Chitinase Enzyme Produced By Aspergillus Sp
Nanosurface Engineering of Bare Metallic Coronary Stents for Combating In-Stent Restenosis
Nanosurface Engineering of Bare Metallic Coronary Stents for Combating In-Stent Restenosis
eGovernance Big Data Analytics Platform
eGovernance Big Data Analytics Platform
Agriculture Named Entity Recognition using Weighted Distributional Semantic Model
Agriculture Named Entity Recognition using Weighted Distributional Semantic Model
Cell Targeted Diagnostics and Therapy Using Nanomaterials
Cell Targeted Diagnostics and Therapy Using Nanomaterials
Admissions Apply Now