PH Deck

Users rely on traditional methods like friends, mentors, or professionals for advice, facing delayed support, inconsistent personalization, and limited style variety

Users face high costs and lack real-time feedback with traditional personal trainers or self-guided workouts. High cost of personal trainers and lack of real-time feedback are key drawbacks.

Currently, fitness enthusiasts often rely on traditional workout plans and logging methods that are time-intensive and lack personalized guidance. These methods often involve manually tracking workouts, researching exercises suited to individual needs, and regularly updating plans. The drawbacks of this old situation include: time-intensive manual logging, limited personalization, and lack of adaptive guidance based on progress.

Users struggle with manually creating and maintaining personalized habits and face ineffective reminders that lead to inconsistent routines.

Users struggle to plan a smart spring garden manually and face challenges due to lack of personalized plant suggestions, care tips, and timelines for optimal growth.

Users record their workouts but struggle to self-analyze form, reps, and movement without expert guidance, leading to potential injuries or ineffective training.

Users previously had to manually analyze facial characteristics without expert help, leading to inconsistent or non-personalized enhancement suggestions.

Users rely on cloud-based AI assistants that require internet and store data externally. Privacy risks and lack of offline functionality are key drawbacks.

Car owners manually track maintenance schedules and specifications, leading to inefficiency, missed maintenance, and lack of personalized insights.

Users manually record and interpret dreams in traditional journals or basic apps, facing time-consuming analysis and lack of personalized insights without AI-driven pattern tracking.