Wafers, a revolutionary app, pioneers a transformative approach to combating food waste. Through innovative OCR and machine learning, it evaluates the environmental impact of each purchase, offering users personalized insights. Our user-centric design ensures a seamless experience, making sustainable choices an effortless and rewarding journey. Wafers doesn't just mitigate food waste; it empowers users, fosters sustainability education, and sets the stage for a world where every choice counts towards a greener tomorrow.

Conceptualization

Usability Testing

Data Modeling and Analysis

We formulated the backend logic to facilitate OCR integration and machine learning calculations. To ensure data security, we established a robust framework for storing information in a CSV database.

Implemented backend logic for receipt processing, OCR integration, and machine learning calculations. Stored data securely in an CSV database.

Incorporated educational content on environmental impact. Leveraged social media for outreach, informing and attracting users to Wafer’s sustainable approach.

I engineered a machine language model by implementing Flask and advancing the development of Pytesseract for seamless integration and enhanced functionality.

I contributed to the machine learning process by supplying essential data required for model training and optimization. I orchestrated the development of an advanced website using a CMS, overseeing the complete UI design for optimal user experience.