—— capability 1 of 6 · Discovery

Search 200 reports across 52 students

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

Filters: Clear all
Showing: "Vivaan Chatterjee"

4 results

ranked by relevance · top 30
Assessment Jan 6, 2026 rank 0.375

RIASEC + DAT V battery interpretation — Vivaan Chatterjee

Vivaan Chatterjee
CY-96560 · Gr 11
Mountain View Public School

Vivaan Chatterjee. Top RIASEC dimensions: Realistic (94), Investigative (74), Artistic (51). The pattern suggests strong fit for analytical

Open student insights → /insights/39
Test result Feb 25, 2026 rank 0.34

Mock CET / aptitude battery — Vivaan Chatterjee

Vivaan Chatterjee
CY-96560 · Gr 11
Mountain View Public School

Vivaan Chatterjee completed the mock CET aptitude battery. Performance: Maths 59/100, Logical Reasoning 73/100, English 87/100. Time management

Open student insights → /insights/39
Session note Jun 21, 2025 rank 0.271

Career exploration session — Grade 11

Vivaan Chatterjee
CY-96560 · Gr 11
Mountain View Public School

Vivaan Chatterjee was engaged today. We explored their interest in research, discussing pathway options at the intersection of curiosity

Open student insights → /insights/39
Session note Jul 2, 2025 rank 0.19

Career exploration session — Grade 11

Vivaan Chatterjee
CY-96560 · Gr 11
Mountain View Public School

Vivaan Chatterjee was engaged today. We explored their interest in architecture, discussing pathway options at the intersection of curiosity

Open student insights → /insights/39
—— 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.