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Project: Bright Study — Rev 2.0 — About

Technical
Blueprint

Architectural overview of an AI-powered learning platform engineered for precision study.

SECTION A — KEY METRICS
15+
Features
20+
Pages
2
AI Engines
60+
Planned
SECTION B — SYSTEM COMPONENTS

Input Layer

PDF, image, OCR handwriting processing pipeline.

AI Core

Azure OpenAI + Google Gemini dual-engine architecture.

Output: Cards

Auto-generated flashcards with SR scheduling.

Analytics

Mastery tracking, gap detection, velocity metrics.

Engagement

XP system, streaks, badges, ranked leaderboards.

Social Layer

Group study, material sharing, peer collaboration.

SECTION C — PROJECT DIRECTIVE

Mission Statement

Democratise education through AI. Provide every student with intelligent study tools — free tier included, scalable architecture, privacy-first design.

Vision Statement

Predictive AI that models individual learning paths. Optimise every study session for deep comprehension over surface-level memorisation.

// INITIALISE

No cost to begin. No credentials required. First deployment in T-30 seconds.

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