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This project centers around two primary aspects: the development of a model for the recognition of American Sign Language (ASL) gestures utilizing a dataset, and the real-time prediction of gestures via a camera feed, accompanied by the conversion of these predictions into spoken language.
"Calculate with ease using our Python GUI calculator! 🧮 Input numbers, perform operations, and get results instantly. The intuitive interface makes math fun and accessible for everyone. Whether it's addition ➕, subtraction ➖, multiplication ✖️, or division ➗, crunch numbers with confidence! Let's start calculating!"
It is an automated software which will generate the Railway Station Announcement in Hindi, English and Gujarati by maintaining a database of required information in an excel sheet.
This project is a web application that converts text input into speech, providing a convenient and accessible way to transform written content into spoken words. Users can enter text in the provided textarea, click the "Predict" button, and instantly hear the generated speech. The app utilizes Flask for the backend.
The multiple language converter front-end app is designed to allow users to input text in one language and get the translated to required language. The application leverages NLTK for natural language processing tasks such as tokenization, stemming, and possibly part-of-speech tagging.etc