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During our academic tenure, a distinctive engineering course project called upon us to apply our engineering acumen to address a real-world problem. Our challenge was unique and profound: we were to empower a visually impaired individual, enhancing his independence and ease of carrying out daily tasks, particularly during the pandemic.


Navigating the grocery store had become a hurdle for our client, whose vision impairment prevented him from discerning price tags, ingredient lists, and other product details without external assistance. Our objective was clear; we had to listen empathetically, understand our client's needs and abilities, and devise a solution that amplified his autonomy.


The key to our solution lay within the information shared by our client. He had an IOS device he used routinely, relying on Spoken Content & Audio Description, the IOS accessibility features. He was also capable of discerning neon shades and differentiating shapes.


Armed with this information, our engineering team crafted 'OCR 3', an ingenious application operating on the Microsoft Power Apps platform. This tool was not just an app; it was an embodiment of our commitment to leveraging technology to bridge accessibility gaps.


OCR 3 harnessed the power of optical character recognition, transforming images into textual content. Users could then leverage the Text-to-Speech feature, which vocalized the extracted text, or save it to the clipboard for future reference. Moreover, our app held the ability to isolate and present the price from an image, a functionality tailored for our client's shopping needs.


But the thoughtfulness in our design did not end there. Keeping our client's preferences at the forefront, we incorporated 'flashy' colours, large, easily distinguishable buttons, and a simple, user-friendly interface. In every way, OCR 3 was a testament to empathetic engineering, designed to make life a little easier for those navigating the world with visual impairment. 

OCR 3 Accesibility App Project
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