How BlackBook AI Works
A transparent look into our 5-stage automated documentation pipeline. We extract, ground, structure, and assemble your complete academic Blackbook.
Multi-Source Code Ingestion
Extracts structure from your actual repository files
Whether you provide a public GitHub URL, a ZIP archive containing frontend/backend code, SQL DDL migrations, or UI screenshots, our ingestion pipeline normalizes every asset into structured ASTs and text streams.
- GitHub Repo / ZIP Archive
- SQL Schema DDLs
- UI Screenshots (.png/.jpg)
- Project PPTX/PDF Synopsis
- File Hierarchy AST
- Database Tables & Keys
- Identified UI Workflows
- Dependency Tree
// Ingesting project structure... ✓ Found: /backend/app.py (FastAPI) ✓ Found: /schema/database.sql (PostgreSQL) ✓ Mapped 8 tables & 14 foreign keys ✓ Extracted 6 user interface screens
Strict MSBTE Formatting Adherence
Maharashtra polytechnic and engineering colleges have strict guidelines. BlackBook AI is calibrated to meet every single guideline out of the box.
Left: 1.25 inches (32 mm) for spiral/hard binding. Right, Top, Bottom: 1.0 inch (25 mm).
Chapter Title: Times New Roman 16pt Bold. Section: 14pt Bold. Body Text: 12pt Regular with 1.5 line spacing.
Certificates, Declaration, Acknowledgement, Abstract, TOC numbered in Roman numerals (i, ii, iii...).
Arabic numerals (1, 2, 3...) starting from Chapter 1 (Introduction) through Chapter 8 and References.
Numbered chapter-wise: Figure 4.1, Figure 4.2; Table 3.1, Table 3.2, with descriptive titles below figures and above tables.
Institutional certificate format including Guide signature, HOD approval, and External Examiner signature blocks.