ai.tachy.in is live in planning mode

Tachy AI Education Agent

A dedicated education AI system for handwritten answer scanning, copy checking, question generation, online exams, and student performance conversations.

1-7 Day Plan Project API
v0.1.0 Documented project version
Isolated Separate from live ERP and chat projects
Locked Public uploads disabled until security is complete

First build direction

Education AI modules

design-ready

Document intake

PDF/image upload, institution metadata, exam metadata, consent, retention rules.

research

Handwriting OCR and layout understanding

Page splitting, answer-region detection, handwriting OCR, diagrams, tables, and math handling.

research

Answer key and copy checking

Rubric matching, semantic similarity, plagiarism/copy-pattern signals, and human review queue.

research

Question generation

MCQ, short answer, long answer, true/false, fill blanks, case studies, and viva prompts.

planned

Online exam engine

Question bank, exam scheduling, proctoring hooks, submissions, scoring, analytics.

planned

Student performance agent

Student chat, improvement plan, weak topic detection, teacher-visible audit trail.

Before full build

1-7 day project approach

The first week should prove workflow, model quality, privacy rules, and cost before building the complete production platform.

  1. DAY 1 Finalize product scope, roles, privacy rules, data retention, upload formats, and first institution workflow.
  2. DAY 2 Define architecture, database schema, document pipeline, queue system, and model-provider decision matrix.
  3. DAY 3 Prototype OCR pipeline on sample handwritten copies and measure extraction accuracy by subject and language.
  4. DAY 4 Prototype answer checking with rubrics, model scoring, copy-check signals, and manual review overrides.
  5. DAY 5 Prototype question generation from scanned material and validate MCQ/short/long-answer quality with teachers.
  6. DAY 6 Design student/teacher/admin UX, permission model, audit logs, and reporting dashboards.
  7. DAY 7 Freeze MVP backlog, cost estimate, model stack, rollout phases, and security checklist before full build.

Model and agent strategy

Expandable toward expert education intelligence

phase 1

Use strong hosted vision-language and text models for OCR assist, reasoning, rubric scoring, and chat.

phase 2

Add retrieval over school content, syllabus, textbooks, solved papers, and institution policies.

phase 3

Fine-tune or adapt smaller models only after collecting permissioned, labeled education data.

phase 4

Build a multi-agent layer: document agent, evaluator agent, question-maker agent, tutor agent, and audit agent.

agi note

The project can be AGI-inspired and expandable, but production claims must stay evidence-based and measurable.

Academic safety

Controls required before student data goes live

Uploads stay disabled until authentication, rate limits, malware scanning, and storage retention are configured.

AI scoring must include confidence, evidence, and teacher override for academic decisions.

Student data must be encrypted at rest, permissioned by institution, and deleted by policy.

Medical or high-stakes content must be educational support only unless reviewed by qualified experts.