RIASEC + DAT V battery interpretation — Ananya Bhatt
Ananya Bhatt. Top RIASEC dimensions: Realistic (84), Investigative (53), Artistic (26). The pattern suggests strong fit for analytical
Postgres full-text search over counselling reports, ranked by relevance. Filter by school, grade, or report kind.
Ananya Bhatt. Top RIASEC dimensions: Realistic (84), Investigative (53), Artistic (26). The pattern suggests strong fit for analytical
Ananya Bhatt (Grade 12). Discussion focused on civil services as a pathway and the family's view on time
Ananya Bhatt (Grade 12). Discussion focused on civil services as a pathway and the family's view on JEE preparation
Ananya Bhatt completed the mock CET aptitude battery. Performance: Maths 82/100, Logical Reasoning 59/100, English 85/100. Time management
Ananya Bhatt completed the mock CET aptitude battery. Performance: Maths 93/100, Logical Reasoning 59/100, English 76/100. Time management
Every reports.text and counsellor_note is indexed by Postgres tsvector (english config). One GIN index, refreshed on insert.
Search box runs plainto_tsquery + ts_rank_cd. Filter chips (school, grade, RIASEC, kind) compose into the same SQL — no client-side filtering.
ts_headline wraps matches in <mark> tags so counsellors see the evidence in context.
Top 30 sorted by rank × recency. The aim is < 200 ms server-side on the full corpus, no Elasticsearch needed.