<aside> 🧭

GANAP PH is an AI-assisted livelihood-guidance concept created as a school project for people who may already have useful skills but struggle to discover training, employment, government assistance, or realistic livelihood paths.

</aside>

1. Project overview

GanapPH was developed around a community problem rather than around AI for its own sake.

Many unemployed or underemployed residents can find opportunities through programs such as TESDA training, DOLE assistance, PESO referrals, local employers, and microbusiness support. The problem is that those options are fragmented, unfamiliar, or difficult to navigate for users with limited digital literacy.

GanapPH turns a small set of onboarding answers into a clearer livelihood roadmap.

Project type: school case study / live pitch prototype

Initial context: Tagum City / Davao Region

Core flow: onboarding → personalized roadmap → recommended next actions

2. Problem statement

The product starts from the observation that unemployment is not always caused by having no skills.

A person may:

• have informal work experience but no recognized credential;
• know a trade but not know which training/certification would improve employability;
• be aware that government support exists but not know which office/program applies;
• depend on Facebook posts/referrals for local work;
• have difficulty translating a broad goal such as “I need stable income” into concrete next steps.

Government and employment information may exist, but access is still poor if ordinary users cannot understand where to start.

3. Product goal

GanapPH aims to convert fragmented opportunity information into a step-by-step action plan appropriate to the user's context.