A bespoke admissions intelligence system that replaces sterile chatbot responses with forensic financial aid auditing, structured visual counsel, and unapologetic reality checks — built specifically for high-need students navigating elite US admissions from Dhaka, Sylhet, and Chittagong.
Every year, thousands of high-achieving Bangladeshi students apply to US universities using advice calibrated for American suburban applicants. The infrastructure of guidance — school counselors, college prep courses, alumni networks — simply doesn't exist here in the same form. What fills the gap is generic AI advice and marketing material written for a different student entirely.
The consequences are predictable: financial mispricing, curriculum gate blindness, asymmetric risk ignorance, and wall-of-text fatigue. Erudite V2 exists because the standard playbook assumes infrastructure, context, and emotional bandwidth that Bangladeshi applicants do not have.
Students see "$82k average international aid" in marketing materials and budget accordingly — not realizing the actual institutional award median is $66k. A $16,000 gap per year changes enrollment decisions.
Universities say they "accept global curricula" but provide zero explicit guidance for SSC/HSC grading contexts. Applicants get filtered before holistic review — not because of merit, but because no one told them how to translate their record.
A student with a 1430 SAT applies to three low-endowment safety schools and one reach. The safer financial bet — a need-blind, full-need institution like Amherst or Williams — gets skipped because selectivity looks scarier than sticker price.
Existing AI counselors dump dense paragraphs on anxious 17-year-olds. The information may be technically correct but psychologically inaccessible at the moment of highest stress. The format is the failure.
"Not just accurate answers — structured visual counsel. Every response is parsed into scannable badges, interactive charts, and collapsible detail panels. The UI is the intervention."
Traditional RAG systems force complex, irregular admissions datasets into rigid schemas. Every time a university alters a minor policy, the database breaks. Erudite V2 stores Deep Research Reports — 70+ pages per university — in raw markdown format directly in Cloud Storage. No ETL. No schema migration. No fragility.
Discovery Engine's serverless layout parser ingests, chunks, and indexes raw files via native parsing (data_schema="content"). Semantic search retrieves exact paragraphs, metrics, and CDS citations without a managed database. Zero Spanner costs. The nuance that structured schemas destroy is preserved entirely.
Calm, selective, authoritative, deeply realistic. Never uses AI filler — no "Sure, I can help with that!", no "Great question!". Speaks with quiet, unapologetic data-backed confidence. The voice of someone who has read the actual CDS, not the admissions brochure.
If a student cites marketing-headline financial data, the system corrects it against audited CDS figures before proceeding. Budget around the mid-60s, not the $82k headline. A 4-year guarantee is worth more than a slightly larger freshman year grant.
If a student with a weak test score gravitates toward low-endowment safety schools, the system gently but firmly deconstructs the asymmetric risk. Full-need endowments are actually safer financial bets despite extreme selectivity. Over-explain your SSC/HSC grading context or risk being filtered before holistic review begins.
Injected as a structured Counselor Preamble directly into the Gemini synthesis prompt. Not a suggestion. A hard constraint.
The FastAPI backend returns a Hybrid Structured Response Payload — both structured JSON and minimal, high-nuance markdown blocks. The Next.js frontend reads this payload and renders interactive UI components dynamically.
"What are the rules and guidelines for serious adverse events (SAEs)?"
"Let's look at this together. The timeline is strict here."
Reporting Window: 24 Hours (danger)
Standard AE Logging: 3 Days (warning)
Loopholes flagged: expedited reporting loophole closed.
Curriculum warning: none.
Pipeline alert: confirmed.
Note: This demo uses the clinical safety corpus as proof of the structured output pattern. Admissions corpus will be populated upon resource activation.
Forcing 70-page forensic reports into JSON schemas destroyed nuance and required endless migrations. Raw markdown + Discovery Engine native parsing preserved everything.
Injecting the Counselor Preamble as a hard prompt constraint — not a suggestion — transformed output quality. The persona is engineered, not improvised.
Anxious 17-year-olds don't read walls of text. Structured JSON → rendered badges/charts/accordions made the same information psychologically accessible.
"$82k average aid" vs "$66k actual median" is a $16k gap that changes enrollment decisions. Forensic CDS auditing is not optional — it's the core value proposition.
Every Firebase Admin call, every Discovery Engine provisioning request uses Application Default Credentials. Zero JSON key files. Zero credential leaks. Zero deployment friction.