This work proposes a novel approach for stress detection based on facial expressions, leveraging a modified VGG (Visual Geometry Group) architecture. By analyzing facial features extracted from images, the system aims to accurately identify signs of stress, facilitating early intervention and support.

With the increasing demand for renewable energy, solar power has become one of the most efficient and widely used energy sources. However, fixed solar panels often suffer from reduced efficiency due to their static orientation, limiting their ability to capture maximum sunlight throughout the day.

In this project, we present a solar tracking system designed to maximize energy efficiency by rotating a solar panel based on the sun’s position. The system utilizes Light Dependent Resistors (LDRs) to detect sunlight intensity, allowing the panel to automatically adjust its angle for optimal solar exposure throughout the day.

The tyre is an important component in the vehicle. It is the source of contact between the vehicle and the road. Proper contact between tire and road is necessary for proper steering of vehicle.

Fish aquaculture needs to maintain optimal water quality to ensure healthy growth and productivity. An intelligent system based on Arduino is proposed in this project to monitor and regulate water parameters such as pH, turbidity, and temperature.