PH Deck

Traditional methods of learning Python can be inconvenient and ineffective for beginners, with the lack of flexibility in learning location and times, and the absence of interactive and engaging learning aids.

Users face scheduling hassle and expensive sessions with traditional tutoring methods.

Users seeking AI/ML careers face theoretical, non-job-focused traditional education leading to skill gaps and low employability.

Japanese learners traditionally rely on textbooks, apps, or in-person classes for practice, facing passive learning methods with limited real-time speaking opportunities and inability to practice verb conjugations and grammar interactively.

Students and learners face challenges in organizing and retaining lecture content, creating study materials from diverse sources, and maintaining personalized learning paths. Recording lectures and manually taking notes is time-consuming. Generic study plans don't adapt to individual progress. Static resources like webpages aren’t easily converted into structured study material.

Learning a new language can be challenging and time-consuming, often limited by the availability of tutors and suitable learning environments. The traditional methods require learners to adapt to specific class schedules, which may not fit into everyone's busy lives. Additionally, the cost of hiring personal tutors or enrolling in language courses can be prohibitive for many. The limited availability of tutors and high costs are significant drawbacks in the traditional language learning process.

Individuals learning Python often encounter challenges understanding complex concepts, staying motivated, and finding personalized assistance.

Users struggle with passive tutorials and complex local setups when learning to code, leading to low engagement and technical barriers.

Users struggle to learn Python efficiently due to traditional methods being time-consuming, lacking personalized guidance, and failing to provide immediate feedback