(02) — Case study
Konektado
A barangay-oriented mobile platform connecting residents with local workers using service categories, location, user roles and verification signals.
Konektado — project cover
(02) — The problem
Finding someone nearby who can actually do the work often means scrolling a barangay Facebook group and hoping a comment thread is still accurate.
Residents seeking a specific service and local workers offering one.
Community scale rather than city scale. Trust comes from proximity and someone local vouching.
(03) — How matching works today
Matching is structured, not conversational. A request resolves against a service taxonomy, offered services, active roles and location.
Requests and provider offers resolve to shared categories.
One account can be a client, provider or both.
Matching is scoped to the community an account belongs to.
Residency, skill proof and provider trust indicators make a listing credible.
(04) — Planned exploration
Natural-language matching is a direction, not a feature.
Embeddings, semantic retrieval and assisted intake are ideas to explore after the structured layer is solid. The thesis does not depend on them.
(05) — Screens
(06) — Where it stands
Undergraduate thesis, active build through 2026.
No public release or real user base yet.
Categories, roles, location and verification form the implemented path.
Whether barangay-scale verification creates enough trust to leave the group chat.