INZA KHAN

Successfully contributed the development of Apparel Measurement, achieved 95% accuracy in measuring the length of clothing items. Took a lead in creating a frontend using Django. Played a key role in the development of Dispatcher project, which accurately identifies various clothing items including men tops, men lowers, women tops, women lowers, achieving an impressive accuracy rate of approximately 90%. Contributed to the development of a color detection system designed to identify the colors of clothing items accurately. Contributed to the identification and detection of brands and logos of clothing items. Proficient in converting Pytorch models into Tensorflow Lite models, enabling seamless deployment on mobile and edge devices.

Designed and implemented Arabic OCR system from the ground up, achieving an accuracy rate exceeding 80% through comprehensive research and development efforts. Accomplished proficiency in Machine Translation, specifically Arabic to English, achieving a remarkable BLEU score of 45.