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

PANCHENDRIYA: A Multi-sensing framework through wireless sensor networks for advanced border surveillance and human intruder detection
PANCHENDRIYA: A Multi-sensing framework through wireless sensor networks for advanced border surveillance and human intruder detection
IoT-Based Humidity and Temperature Monitoring System for Improved Mushroom Farming
IoT-Based Humidity and Temperature Monitoring System for Improved Mushroom Farming
Marine Algae – An Important Source for Lectins
Marine Algae – An Important Source for Lectins
Population Survey of Invasive Diseases in India caused by S.Pneumoniae or H.influenzae or N. meningitis in Children below 5 years of age
Population Survey of Invasive Diseases in India caused by S.Pneumoniae or H.influenzae or N. meningitis in Children below 5 years of age
Study of Waste Management Practices and Impact on Rural Ecosystems
Study of Waste Management Practices and Impact on Rural Ecosystems
Admissions Apply Now