C
Chisel
CDP Demo
v0.1.0
—— capability 1 of 6 · Discovery

Search 200 reports across 50 students

Postgres full-text search over counselling reports, ranked by relevance. Filter by school, grade, or report kind.

Filters: Clear all
Showing: "Ananya Bhatt"

5 results

ranked by relevance · top 30
Assessment Feb 27, 2025 rank 0.375

RIASEC + DAT V battery interpretation — Ananya Bhatt

Ananya Bhatt
CY-20268 · Gr 12
Jacaranda Heights

Ananya Bhatt. Top RIASEC dimensions: Realistic (84), Investigative (53), Artistic (26). The pattern suggests strong fit for analytical

Parent meeting Nov 17, 2025 rank 0.343

Parent meeting — Ananya Bhatt's pathway plan

Ananya Bhatt
CY-20268 · Gr 12
Jacaranda Heights

Ananya Bhatt (Grade 12). Discussion focused on civil services as a pathway and the family's view on time

Parent meeting May 3, 2025 rank 0.343

Parent meeting — Ananya Bhatt's pathway plan

Ananya Bhatt
CY-20268 · Gr 12
Jacaranda Heights

Ananya Bhatt (Grade 12). Discussion focused on civil services as a pathway and the family's view on JEE preparation

Test result Apr 12, 2026 rank 0.34

Mock CET / aptitude battery — Ananya Bhatt

Ananya Bhatt
CY-20268 · Gr 12
Jacaranda Heights

Ananya Bhatt completed the mock CET aptitude battery. Performance: Maths 82/100, Logical Reasoning 59/100, English 85/100. Time management

Test result Sep 1, 2025 rank 0.34

Mock CET / aptitude battery — Ananya Bhatt

Ananya Bhatt
CY-20268 · Gr 12
Jacaranda Heights

Ananya Bhatt completed the mock CET aptitude battery. Performance: Maths 93/100, Logical Reasoning 59/100, English 76/100. Time management

—— how Discovery works

Postgres FTS over every report, note and transcript

1
Tokenize

Every reports.text and counsellor_note is indexed by Postgres tsvector (english config). One GIN index, refreshed on insert.

2
Query

Search box runs plainto_tsquery + ts_rank_cd. Filter chips (school, grade, RIASEC, kind) compose into the same SQL — no client-side filtering.

3
Highlight

ts_headline wraps matches in <mark> tags so counsellors see the evidence in context.

4
Rank

Top 30 sorted by rank × recency. The aim is < 200 ms server-side on the full corpus, no Elasticsearch needed.