Protótipo de um aplicativo móvel para avaliação pré-compra de veículos

Abstract

The purchasing of used vehicles in Brazil is a well-established practice, yet still characterized by information asymmetry, fraud risks, and high technical inspection costs. This work presents the development of Carro Certo, a mobile application prototype aimed at the pre-purchase evalua- tion of used vehicles, designed to democratize access to standardized, low-cost analysis tools. The system was built upon Clean Architecture, structured into Domain, Data, and Presenta- tion layers, aiming at modularity, testability, and framework independence. The adopted methodology combines exploratory research with the Rapid Solo Software Development (RSSD) framework, allowing for iterative, usability-centric development. Developed using Flutter, Supabase, and PostgreSQL, the application adopts an offline-first strategy with automatic cloud synchronization, ensuring a seamless user experience even under adverse connectivity conditions. Key components include a Scoring Engine and an Insight Engine, which analyze vehicle conditions to generate clear, objective technical reports. Technical results confirm the feasibility of the proposal, indicating that the tool has the potential to aid in mitigating information asymmetry and supporting the purchasing decisions of non-specialized consumers.