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

Macrocyclic and Carbocyclic Constructions by SET Oxidations of Styrenes, Allenes and Cyclopropanes
Macrocyclic and Carbocyclic Constructions by SET Oxidations of Styrenes, Allenes and Cyclopropanes
Rural Healthcare for Diabetes and Tuberculosis
Rural Healthcare for Diabetes and Tuberculosis
Antimicrobial Activity of Aqueous Extracts of Plants Against Multidrug Resistant P.aeruginosa
Antimicrobial Activity of Aqueous Extracts of Plants Against Multidrug Resistant P.aeruginosa
Development of Natural Biopolymeric Hydrogel Bandages with NanoZnO/ Nanosuspensions of Herb Hemigraphis Ulternata for Wound Dressing
Development of Natural Biopolymeric Hydrogel Bandages with NanoZnO/ Nanosuspensions of Herb Hemigraphis Ulternata for Wound Dressing
Label – Free Quantitative Proteomics Analysis to Study the Effect of Triclosan on Delta-Haemolysin: A Haemolytic Factor of Methicillin – Resistant Staphylococcus Aureus
Label – Free Quantitative Proteomics Analysis to Study the Effect of Triclosan on Delta-Haemolysin: A Haemolytic Factor of Methicillin – Resistant Staphylococcus Aureus
Admissions Apply Now