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It is a ML based model to detect fake URLs and QR codes, using adv. data cleaning to improve accuracy. Built a Flask-based RESTful API for real-time fraud checks, allowing easy use in web and web apps. Designed a responsive JS front end to connect with the backend, showing fraud risk scores, confidence levels, and key risk factors for users
A smart tool that generates portfolio-ready UI/UX project briefs tailored by industry, difficulty, and design type. Each brief includes branding, user stories, and project goals to help designers practice with real-world style prompts.