PH Deck

Students use traditional study tools like Chegg, Quizlet, and ChatGPT, which lack research-backed study strategies, resulting in less effective learning and retention.

Users face outdated corporate and academic training methods that are often not engaging and lack personalization for different learning styles.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 struggle with traditional, non-collaborative learning methods that lack real-time interaction and personalized AI support, leading to inefficient knowledge retention and engagement.

Users need to gather news from multiple platforms and manually filter content, which is time-consuming manual filtering and limited language options for global audiences.

Users aiming to launch an AI tools marketplace face high development costs, technical complexity, and long timelines when building from scratch.

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

The current situation involves traditional learning methods.

Industries manage energy, water, and emissions with manual processes or fragmented tools, leading to high operational costs, inefficient resource allocation, and slow progress toward net-zero goals.

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.

Users preparing for competitive exams rely on traditional methods like textbooks, static mock tests, and manual coaching, facing lack of personalization, non-adaptive learning, and limited access to updated resources/doubt support.