My gadget buy-back platform already has a live Android app and website; now I want to push usability a step further by adding advanced search filtering—this is the only new functionality I’m focusing on at the moment. The goal is simple: let visitors slice our catalogue by multiple parameters in one go and surface results instantly. I’m happy to discuss the exact filter set, but price range sliders, brand selection, and condition toggles are the starting point I have in mind. You’ll need to wire a clean, native-feeling UI on Android and a consistent component on the web, then back it with efficient queries and an API endpoint that supports combined parameters without slowing things down. Deliverables • Backend endpoint(s) that accept multiple filter criteria and return paginated results • Updated Android and web search interfaces with dynamic filters • Unit/integration tests proving accuracy of results and stability of existing search • Brief deployment notes and inline code comments for my in-house team Acceptance criteria • Any filter or combination returns correct products in under 300 ms on datasets up to 100 k items • No regressions in current browsing flows • All code merges cleanly into our Git repository and passes existing CI checks Codebase access, sample data, and design assets will be provided as soon as we kick off. If you’ve implemented similar multi-facet search before and can keep performance tight, let’s get started.