PH Deck

Users face challenges in creating motion graphics due to the complex and time-consuming nature of the process.

Drawbacks: Steep learning curve, time-intensive, and lack of creative inspiration leading to slower production.

Users struggle to get instant answers, insights, and generate inquisitive questions about their pictures, which limits their ability to learn from images and easily identify objects, plants, or text.

Users are currently using existing visual search tools like Google Lens, but these tools can be limited in their depth and coverage of information. They often provide basic identification without going deeper into historical context or hidden connections. The drawbacks are that users cannot fully satisfy their curiosity or need for detailed insight into what they capture and identify.

Developers experience difficulties and delays when trying to implement custom computer vision (CV) functionality into their applications due to the complexity of CV technologies.

Current food classification apps may not effectively identify specific food items such as hot dogs

Users struggle with finding specific clothing items online due to endless scrolling through pages or typing vague descriptions.

Current method involves users manually extracting and structuring data from UI screenshots.

Users often struggle to understand complex visual content on webpages, which can lead to confusion and a lack of engagement.

Businesses often struggle with securely onboarding customers due to fraudulent activities and impersonation attempts, which can result in financial losses and damage to reputation. The drawbacks of older solutions include slower verification processes and less precise identity verification, leading to a higher risk of security breaches.

Designers and creatives often struggle to find design assets that match their vision or projects, leading to extensive search times and potential compromises on their creative output.