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

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
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Wireless Soil Sensor Network for Automated Irrigation and Fertilization
Wireless Soil Sensor Network for Automated Irrigation and Fertilization
Shape Optimization of Optical Structures
Shape Optimization of Optical Structures
Increasing Community Engagement for Lemongrass Distillation Unit
Increasing Community Engagement for Lemongrass Distillation Unit
Admissions Apply Now