Electoral data engineering, from raw publication to constituency-level intelligence.
Booth-level electoral publications converted into structured, queryable datasets at scale — crores of records, resumable and verifiable.
Names, reasons and attributes reconciled across Devanagari, Bengali, Odia, Telugu, Tamil, Malayalam, Gujarati and Gurmukhi into a single schema.
District, parliamentary, assembly and booth hierarchies resolved against one reference set, so every level reconciles against the level above it.
Per-constituency verification, unmapped-value detection, and reconciliation checks at every aggregation level.
Deletion analytics by reason, geography and demographic — state, district, parliamentary, assembly and booth.
Surname, caste, religion, PDA-G category, gender, age and relation-type distributions, each with its coverage declared.
Interactive constituency maps shaded by deletion rate, drillable from state down to individual booth.
Booth-wise voter lists with EPIC lookup and server-side sorting across crores of records.
Each state runs as an independent datacenter on its own subdomain, backed by a dedicated database and a shared analytical core. The architecture scales by adding states rather than by growing a single system, so a new state comes online without disturbing the others.
Discuss a requirement →