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—— per-student insight

Aanya Mehta

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STU-001 · 15 yrs · Grade 10 · Aurora International Academy
confidence · HIGH live · claude-sonnet-4-6 · cached · 10808ms on the original call
RIASEC top 3: I A R
— riasec profile

Aanya Mehta's Holland Code

Hand-rendered SVG · 6 dimensions, scored 0–100.

20 40 60 80 100 62 89 84 58 41 47 Realistic Investigative Artistic Social Enterprising Conventional

top 3 → IAR

— aptitude · DAT V

Student vs cohort mean

Aanya Mehta · Cohort mean

—— ai narrative
live · claude-sonnet-4-6 · served from cache

Aanya Mehta presents a strong aptitude and interest profile that points clearly toward investigative and creative pursuits. Her RIASEC scores place Investigative (89) and Artistic (84) at the forefront, with a secondary Realistic (62) streak — a combination often described as the IAR profile. This blend suggests someone who thrives when solving complex, open-ended problems that also allow for original thinking and hands-on application.

On the aptitude side, Aanya's abstract reasoning (76) and verbal ability (72) are her standout strengths, indicating she can grasp complex concepts quickly and communicate ideas with clarity. Her numeric ability (68) and speed-accuracy score (70) are solidly above average, lending themselves well to research, data interpretation, and analytical tasks. Her spatial score (64) and mechanical aptitude (55) are moderate, suggesting that highly tool-intensive or engineering-heavy fields may be less natural fits unless she develops those skills deliberately.

Given the IAR profile combined with her aptitude pattern, Aanya appears well-suited for careers in life sciences, psychology, design research, environmental science, or fields like UX research that blend systematic inquiry with creativity. In the Indian context, she could explore research-oriented programmes at institutions such as IISc, NISER, or design schools like NID and IDC, or consider integrated BSc-MSc or BA-MA paths in her areas of interest. Interdisciplinary programmes are increasingly available and align well with her mixed investigative-artistic strengths.

Recommended next step: Aanya should schedule an exploratory session to map two or three specific degree programmes to her profile, and seek informational interviews with professionals in research or design fields.

why this confidence level

live LLM inference grounded in 0 cited reports + RIASEC/aptitude data

—— top 5 matches

Career fit (ranked)

Computed live · RIASEC overlap × demand index. Algorithm visible at /dashboard.
—— supervisor review · §3.4

Review status

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Source reports

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