Python
DeepCurvMRI: Deep Convolutional Curvelet Transform-based MRI Approach for Early Detection of Alzheimer’s disease
DeepSkin A Deep Learning Approach for Skin Cancer Classification
Denoising in the Dark: Privacy Preserving Deep Neural Network Based Image Denoising
Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition
Aim:
The primary aim of this project is to detect, monitor, and provide mental health support for pregnant women by analyzing free conversational speech in naturalistic settings. The system leverages cloud-based communication, AI-driven audio analysis, and human–AI hybrid interaction to screen for depression and anxiety while providing emotional support through chat and voice-based systems.
Design and Development of Human Following Autonomous Airport Baggage Transportation System
Design and Development of Integrated Human Resource Management System with Face Recognition Attendance
Aim:
Our study aims to design and develop a smart human resource and attendance management system using facial recognition technology to automate employee identification and attendance tracking. The system leverages AI-based face detection to ensure accuracy, eliminate proxy attendance, and streamline HR processes, thereby improving workforce efficiency, data security, and transparency within the organization.
Design and Implementation of a Remote Patient Monitoring System Based on IoT Using Wireless Sensor Networks for Real-Time Health Data Recording.
Design And Implementation Of Assistive Robot For The Elderly And Impaired Person
Design and Implementation of IoT-based Programmable Assistive Intelligent Adaptive Pillbox
Design and Implementation of Microcontroller based Smart Battery Management System
Aim:
The mainstay of the project is to design and develop a Smart Battery Management System. The system seeks to enhance safety and efficiency by providing immediate responses to detected anomalies and ensuring optimal battery performance through cloud-based data updates and integrated control mechanisms.
Design of a Search and Rescue Robot Based on Fire hazards
Aim:
The Mainstay of the project is to develop an autonomous firefighting robot that integrates AI for person detection, real-time video streaming, and obstacle avoidance. The system enhances firefighter safety and efficiency by providing autonomous navigation and fire suppression in hazardous environments.
