PH Deck

Students face difficulty navigating through the vast amount of information available online, leading to confusion and inefficiency in learning, with the drawbacks being information overload and the challenge of finding relevant learning materials.

Users face outdated corporate and academic training methods that are often not engaging and lack personalization for different learning styles.

Lack of engagement and tailored content leads to less effective learning experiences.

Users previously learned coding and AI through traditional methods (textbooks, static online courses) or fragmented tutorials, which offered limited hands-on experience and no instant feedback, leading to demotivation and ineffective skill development.

Design education often requires substantial financial investment and lacks personalized guidance, making it difficult for users to find affordable, comprehensive learning opportunities substantial financial investment and lacks personalized guidance.

Students and professionals relying on passive reading of textbooks, notes, or PDFs face inefficient retention, lack of interactivity, and time-consuming manual content organization.

Users face challenges in finding precise answers to academic questions and personalized job search support.

Drawbacks: Lack of accurate academic guidance and job search assistance can lead to confusion, time wastage and less effective decision-making.

Users struggle to utilize AI models, integrate knowledge bases, and simplify tasks without expertise

Users need to find effective ways to learn coding and computer science.

The current situation involves traditional learning methods.

K12 education faces challenges with traditional learning and assessment methods

Organizations struggle to govern AI products and services responsibly, lacking tools to manage AI systems across their lifecycle and ensure compliance with global regulations like the EU AI Act, ISO 42001, and NIST AI RMF.