PH Deck

Users rely on static resumes that lack real-time updates and struggle with tracking each application manually, leading to missed follow-ups and fragmented insights during job searches.

Users often struggle to create resumes that are both professional-looking and optimized for Applicant Tracking Systems (ATS)

Existing methods may not provide adequate customization options or AI assistance.

Users struggle to efficiently track job applications and resumes, leading to stress and disorganization in the job search process.

Users need to tailor their resumes to navigate Applicant Tracking Systems, AI filters, and human reviewers for each job application.

Users often have to manually tailor their resumes for each job application, which is time-consuming and difficult to manage. The old approach requires extensive editing for customization, lacks efficiency in tracking multiple versions, and limits effective presentation.

Users struggle to optimize their job applications and tailor their resumes for different job opportunities.

Drawbacks: Lack of feedback on resumes, difficulty in generating customized CVs, challenges in tracking job applications with relevant keywords, and crafting personalized cover letters.

Users manually create resumes and cover letters, which is time-consuming and may not effectively highlight strengths or align with industry trends.

Users manually track job applications via Gmail, leading to inefficient resume organization, disjointed candidate data parsing, and error-prone status tracking

Job seekers manually check resumes for ATS compatibility, which is time-consuming and prone to human error, leading to lower chances of passing automated screenings.

Content creators frequently use AI to generate text, but this AI-generated content often struggles to pass as human-written due to its detectable patterns, leading to challenges in evading AI detectors. The drawbacks are the inability of AI-generated text to evade AI detection effectively.