Student
Aditya Chandra Verma
Ghaziabad
1). Designed and developed an innovative IoT solution utilizing Machine Learning to detect hand gestures and voice commands for controlling home appliances. Tailored specifically for disabled and senior citizens, the solution enhances quality of life by enabling easy and intuitive interaction with everyday devices. Features include:
- Gesture and Voice Recognition: Integrated advanced machine learning models to accurately interpret hand gestures and voice commands for seamless appliance control.
- Accessibility Focus: Prioritized ease of use for individuals with disabilities and seniors, ensuring the system is user-friendly and customizable to individual needs.
- Home Automation: Enabled automation of various household appliances, contributing to a safer and more comfortable living environment.
- Scalable and Expandable: Designed with modularity to allow future enhancements, including additional appliances and functionalities.
2). Developing an assistive machine designed to enhance the writing experience for disabled individuals during exams. The solution incorporates:
- Machine Learning for Sign Language Recognition: Accurately detects and interprets sign language to provide input for transcription.
- Voice Detection Module: Transcribes spoken input from users into multiple supported languages.
- Automated Writing System: Translates user input into written text via a custom-built writing machine, ensuring a seamless and efficient exam experience for users with disabilities.
