Simply, a web application for individuals with low vision capabilities to excel in daily tasks.
Watch the video of the complete execution of the project, here.
Please do check-out my complete, detailed synopsis report on the project for more information, here.
The project, ‘WeSee’ is aimed to address the challenges faced by visually impaired individuals by leveraging cutting-edge technologies, primarily based in Computer Vision and Digital Image Processing, specifically built upon the foundations of Deep Learning.
It is an innovative assistive tool that empowers visually impaired users to access written and digital content seamlessly, by leveraging a device's camera to provide real-time information about the user's surroundings.
Key structures of ‘WeSee’ include real-time text recognition, real-time object detection and audio output capabilities, enabling users to effortlessly comprehend and interact with their surroundings. Moreover, the system is designed to adapt to various environmental conditions, providing a robust solution for users in different settings.
In conclusion, this project contributes to the inclusive integration of individuals with visual disability into our society by fostering independent access to information and promoting equal opportunities.
Through the integration of state-of-the-art technologies in Artificial Intelligence and Machine Learning, this project aligns with the overarching goal of creating a more accessible and inclusive world for all individuals.
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