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The platform turns hiring into a game people actually want to play. It's a two-sided mobile marketplace, built with React Native (Expo) and a NestJS and Postgres backend, where candidates swipe through jobs and employers swipe through ranked candidates, and a mutual swipe is a match that opens a live chat. Behind the swipe deck is serious AI. A candidate uploads a PDF CV and an LLM turns it into a structured, editable profile. A second LLM pass screens it for fraud and translates Arabic into English, so Arabic and English CVs can be matched against each other. Matching is semantic, using a multilingual embedding model that runs locally with no per-request cost, so every card in the deck is ranked by how well a candidate's skills, titles and experience fit the role. Employers also get AI-written summaries explaining why a candidate fits and where they fall short. The game layer has real stakes: daily swipe limits, a credit wallet, boosts that put a profile or job at the top of the deck, referral rewards, tiered plans and auto-apply. A platform-admin console tracks everything, including AI cost per feature. The app is fully bilingual, with right-to-left layout for Arabic. What sets it apart is that it combines the fast, addictive feel of a swipe app with a matching engine that understands meaning rather than keywords, in a market where most hiring tools handle neither Arabic nor engagement well.

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