Photo Recognition Tool for Authenticating Sports Jerseys

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Rebound Jerseys is a marketplace dedicated to authenticated sports jerseys. We are looking for a skilled developer or development team to create a sophisticated AI-driven tool that accurately identifies jersey authenticity from uploaded images. We aim to build a tool that prioritizes user trust, ease of use, and robust authentication capabilities. We plan to use this tool first for internal authentication efforts, and eventually release it to end users. Responsibilities: AI Development: --Create an advanced AI model capable of analyzing key jersey characteristics such as stitching patterns, logos, tags, labels, and fabric consistency. --Design the AI to continuously learn and improve accuracy through user feedback and manual reviews. User-Centric Interface: --Develop an intuitive and straightforward interface that simplifies the jersey image submission process. --Offer flexible submission methods, including direct camera capture and bulk uploads. --Provide real-time, supportive feedback to users if errors occur during submission. Trust & Transparency Features: --Clearly communicate how the AI analyzes jerseys, providing transparent explanations that build user confidence. --Issue digital authenticity certificates for verified jerseys, enhancing buyer and seller trust. --Highlight successful authentication cases regularly to demonstrate tool effectiveness and educate users. Anti-Fraud Measures: --Implement safeguards to identify and prevent fraudulent submissions intended to deceive the authentication system. Qualifications: --Demonstrated experience in developing AI-powered image analysis and recognition tools. --Strong UX/UI design background, with a focus on simplifying complex user interactions. --Familiarity with sports memorabilia markets, specifically jersey authentication, is advantageous. --Proven ability to integrate trust-building measures within digital tools. Application Requirements: --Portfolio showcasing previous work related to AI image recognition, authentication, and UX/UI design. --A concise proposal detailing your approach to the development of this tool, including strategies for continuous AI improvement, user engagement, and fraud prevention. Additional Resources: --Applicants are encouraged to review insights from a provided case study following job application to better understand the challenges and essential features of building user trust and confidence in authenticity tools. --We look forward to partnering with a developer or team passionate about enhancing authenticity and trust in the sports memorabilia industry.

Keyword: Python

Price: $17.0

Computer Vision Image Processing Machine Learning Sports & Recreation