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Cloud technologies Product or service launch Software development Machine learning Artificial intelligenceSkills
minimum viable product user feedback lean startup methodology leadership machine learning methods azure machine learningSquirl Signs is looking to develop a Minimum Viable Product (MVP) for its upcoming ASL translation solution. The goal of this project is to create a basic, functional version of the product that can demonstrate its core features and potential to stakeholders. This MVP will serve as a foundation for future development and help gather user feedback.
The MVP needs to be a web-based model that interprets American Sign Language with a sub-2 second delay and above 80% accuracy.
Providing specialized knowledge in the project subject area, with industry context.
Sharing knowledge in specific technical skills, techniques, methodologies required for the project.
Direct involvement in project tasks, offering guidance, and demonstrating techniques.
Providing access to necessary tools, software, and resources required for project completion.
Scheduled check-ins to discuss progress, address challenges, and provide feedback.
Supported causes
The global challenges this project addresses, aligning with the United Nations Sustainable Development Goals (SDGs). Learn more about all 17 SDGs here.
About the company
Squirl Signs is an accessibility technology startup developing AI-driven solutions to bridge the communication gap between the Deaf community and the hearing world. The company’s flagship product is an application that translates American Sign Language (ASL) into written English in real time, enabling more seamless interaction in everyday settings such as workplaces, schools, retail environments, and public services.