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

sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning
sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning
Automating Anxiety Detection using Respiratory Signal Analysis
Automating Anxiety Detection using Respiratory Signal Analysis
Organic Bulk Heterojunction Devices for Photovoltaic Solar Cell Applications
Organic Bulk Heterojunction Devices for Photovoltaic Solar Cell Applications
Development of a Triple Level Distributed Control for Demand Response Management, Intelligent Scheduling of Loads and Optimized Choices in Electricity Bidding for a Smart Microgrid
Development of a Triple Level Distributed Control for Demand Response Management, Intelligent Scheduling of Loads and Optimized Choices in Electricity Bidding for a Smart Microgrid
Development of Solar-powered Steam Distillation Unit for the Production of Lemongrass Oil
Development of Solar-powered Steam Distillation Unit for the Production of Lemongrass Oil
Admissions Apply Now