PH Deck

The current situation for users is that students often struggle with preparing for job interviews and mastering career skills.

Job seekers manually tailor each application to match job descriptions, which is time-consuming and often ineffective due to generic content and misalignment with employer requirements.

Job seekers typically prepare for interviews through self-study, mock interviews with friends, or generic online resources. Lack realistic practice environments, immediate feedback, and personalized guidance, leading to underpreparedness and anxiety.

Users face inefficiencies and chaos in traditional hiring processes, which involve manual screening, insecure data handling, and lack of transparency. Manual screening, insecure data, and opacity lead to delays, bias, and mistrust.

Users manually search and apply for jobs by browsing multiple portals and tweaking resumes for each application. Manually searching and applying for jobs, tweaking resumes for each application

Job seekers struggle to find relevant opportunities and employers face inefficient hiring processes due to manual resume screening and paid job postings on traditional platforms.

Users manually screen resumes, which is time-consuming and prone to human error and inconsistency, leading to delays and potential bias in hiring decisions.

Users struggle to showcase their personality and confidence through traditional resumes, leading to lower engagement and hiring chances in competitive job markets.

Individuals navigating career changes or building a business face challenges in crafting their voice and learning new skills, leading to difficulties in staying ahead in their careers.

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.