Ctrl K
JS

Dashboard

Good morning! Here's your identity overview.

0
Total Documents
0
Certificates
0
Projects
0
Internships

Recent Uploads

Category Breakdown

AI Classified
Upload documents to see AI categorization
Identity Score 0%

Upload documents from all 6 categories to maximize your score.

🤖
AI Profile Summary
Upload documents to generate your AI summary.

AI-Detected Skills

Auto-extracted
Skills will be extracted from your uploaded documents

Documents

All uploaded files — auto-categorized by AI

Upload Documents

AI automatically categorizes your files instantly

Drag & Drop files here

or click to browse — PDF, DOCX, JPG, PNG supported

Quick upload by type:

Career Timeline

Your academic and professional journey at a glance

Relationship Engine

AI-mapped connections between your credentials and opportunities

AI Powered
Certificates
Skills
Projects
Internships
Achievements

AI Insights

Generated analysis of your complete academic profile

Career Readiness Score
0
/ 100
Not started
Score Breakdown
AI Generated Summary
Upload documents to generate your personalized AI summary.

💪 Profile Strengths

🎯 Gaps to Address

🚀 AI Recommendations

Personalized

System Architecture

How DigiID processes and connects your academic identity

01
File Upload
Drag-and-drop or browse. Accepts PDF, DOCX, JPG, PNG. Files are parsed locally — no server required.
02
AI Categorization
Keyword-based NLP engine scans the filename and extension. Maps to one of 6 categories: Certificates, Projects, Internships, Achievements, Skills, Academics.
03
Metadata Extraction
Extracts upload date, file size, type, and infers skill tags per category. Tech keywords (Python, React, SQL…) are detected from filenames.
04
Relationship Engine
Traverses the credential graph: Certificate → Skill → Project → Internship → Achievement. Surfaces hidden connections between your documents.
05
Career Timeline
Documents are auto-placed on a chronological timeline. Manual entries supplement auto-generated events. Sort by date, category, or institution.
06
NLP Search
Natural-language queries parsed by a rule-based NLP layer. Understands intent like "show my AI certificates" or "latest resume" without a backend.
Technology Stack
🌐
Vanilla HTML/CSS/JS
Zero dependencies. Pure browser APIs. No framework overhead.
🧠
Rule-based NLP Engine
Intent parser with keyword extraction for natural-language search.
🔗
Relationship Graph
Adjacency-list credential graph with weighted edge traversal.
💾
localStorage
Client-side persistence. All data stays on the user's device.
📊
Scoring Algorithm
Multi-factor career readiness model with weighted category scoring.
Vite Dev Server
Lightning-fast HMR for rapid development iteration.
Data Flow Model
User Action
Upload / Search / Edit
AI Processing Layer
Categorize · Extract · Link
localStorage State
docs · timeline · profile
Rendered UI
Dashboard · Graph · Insights