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BRAILLE TO TEXT AND VOICE CONVERSION USING CONVOLUTIONAL NEURAL NETWORK

Category: Mini Projects

Price: ₹ 3500 ₹ 10000 65% OFF

In an era of technological advancements, accessibility remains a critical focus. This project introduces the Braille to Text and Voice Conversion System (BTVCS), a transformative tool designed for the visually impaired. Leveraging computer vision, image processing, and deep learning, BTVCS accurately recognizes Braille characters and converts them into natural language text. The system integrates a dynamic text-to-speech (TTS) engine, delivering high-quality, natural-sounding voice output, allowing users to access written information independently. BTVCS enhances accessibility through precision in Braille interpretation and an immersive auditory experience, empowering individuals to engage with content more effectively.

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The Braille to Text and Voice Conversion System (BTVCS) represents a groundbreaking technological advancement designed to transform the lives of individuals with visual impairments. By harnessing state-of-the-art techniques in computer vision, image processing, and deep learning, BTVCS offers an efficient and accurate method for translating Braille characters into natural language text and converting this text into high-quality, natural-sounding voice output. This innovation empowers visually impaired users to independently access a vast array of information, including books, articles, websites, and more, which were previously out of reach.
At the core of BTVCS lies the power of Convolutional Neural Networks (CNNs), a class of deep learning algorithms renowned for their excellence in image recognition tasks. CNNs enable the system to identify and interpret Braille patterns with remarkable precision, ensuring minimal error rates. Once the Braille text is extracted, it is seamlessly converted into readable text in standard languages, such as English, and further transformed into speech using an advanced text-to-speech (TTS) engine. This dynamic combination not only provides users with a tactile-to-visual and auditory transition but also allows for a highly personalized experience with customizable voice options and settings.

Software Requirement
1) Python idle 3.8
Algorithm
1) CNN
Library
1) Numpy
2) CV2
3) Time
4) Pyttsx3
5) Tensorflow
6) Tkinter
7) Keras
8) Pillow
9) Gtts
10) glob
Hardware Requirement
1)PC

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