Elección Clara

In Peru, useful electoral information is scattered (CVs, history, government plans, systems by election cycle). Elección Clara treats this as a data architecture problem: it gathers official public sources, normalizes them, and lets you compare candidates and parties with one transparent methodology. It includes AI-assisted analysis of verifiable documents.

More detail

• AI-assisted analysis: assess structure and internal consistency of government plans; detect textual and semantic similarity; break proposals into analyzable units; structure public information that is not yet ordered; analyze CVs and political track records with objective criteria; support comparable metrics across candidates and parties.
• The system relies only on verifiable public data, with a transparent, auditable methodology. It does not recommend how to vote, make political judgments, or allege crimes—it is engineering applied to public information.
• A production platform designed to add new sources, strengthen the methodology, and adapt to future elections. Open to technical feedback, methodology review, and data collaboration.