A Abhishek

Developed a real-time software application to translate sign language gestures into spoken language. Utilized Python, Numpy, OpenCV, Keras, and TensorFlow to build a convolutional neural network that accurately recognizes and converts hand gestures to text, aiding communication for individuals with speech or hearing impairments. Demonstrated diligent and organized work habits throughout the project.

Created an advanced system to combat wildlife poaching by integrating IoT devices, thermal imaging, and machine learning. Employed technologies such as Internet of Things (IoT), Unmanned Aerial Vehicles (UAVs), dashboard cameras, and trail cameras to monitor wildlife reserves. Implemented Convolutional Neural Networks (CNN) to analyze thermal images and detect unauthorized human presence, providing real-time alerts to authorities and reducing the reliance on manual surveillance. Displayed strong leadership qualities and a team-oriented mindset.

The primary goal of this website redesign project for accunityHR is to enhance the user experience (UX) and improve the overall visual appeal and functionality of the site. By focusing on a more intuitive layout, clearer navigation, and a modern aesthetic, the redesign aims to better represent accunityHR’s services and core values, while making it easier for potential clients and users to access information and engage with the platform. The project leverages Figma’s design tools to create responsive, user-friendly interfaces that align with the company's brand identity and meet the evolving needs of its audience.

The project is to make a Login Screen Design like Instagram, the outcome of the project is to create an interactive login screen layout which has an option to change the themes from light to dark or vice versa.