HALALSCAN: A WEB APPLICATION FOR HALAL INGREDIENT VERIFICATION
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Universiti Malaysia Sarawak
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The increasing concern among Muslim consumers regarding the halal status of imported products has driven the need for a more efficient method of ingredient verification. Thus, this project introduces HalalScan, a web-based system that allows users to determine the hall status of food products by scanning or uploading an image of the ingredient list. The system uses Optical Character Recognition (OCR) powered by Tesseract OCR to extract text from the image and cross checks it with a curated ingredient database. Users are then presented with color-coded status indicators (green, yellow, red) representing halal, doubtful, or haram ingredients in the context of Islamic dietary laws. The system also includes a user-friendly interface, ingredient detail popups, a statistical page, and an admin panel for database management. Usability testing involving 13 participants of varied background showed that 92.3% of users rated the system with the highest satisfaction score, and most tasks were completed smoothly without assistance. Only the OCR scanning task posed minor challenges for a user’s, due to unfamiliarity with camera handling. However, limitations related to OCR accuracy under certain conditions were identified. Despite this, HalalScan demonstrates a promising approach to simplifying and digitalizing halal ingredient verification.