Digital Extinction Tracker (Rune)

A web application that helps identify, track, and preserve endangered cultural knowledge—including folk stories, rare words, proverbs, and traditions—using AI/ML to analyze text and assign risk levels.

Developed by Team Lazarus, Rune aims to preserve cultural heritage in a digital format, making endangered knowledge accessible for future generations.

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Features

• User Registration & Authentication
  Secure login and registration system to access preservation tools.

• Preservation Submission
  Users can submit text data for preservation, which is verified by an administrator before approval.

• Risk Analysis
  Uses AI/ML to evaluate the preservation requests and assign risk scores and risk levels.

• Categorized Display
  Approved data is displayed publicly under categories like folklore, traditions, proverbs, and rare words.

• Filtering & Search
  Users can filter preserved information by category, risk level, and risk score.

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Tech Stack

Frontend:

• Vercel Deployment
• Bun.js + Shadcn UI
• React + TypeScript

Backend:

• FastAPI (Python 3.11)
• Dockerized and hosted on Azure App Service
• PyTorch + TorchVision for AI/ML text analysis

Database & Services:

• Firebase (Authentication, Storage, Analytics)

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Getting Started

Prerequisites

• Node.js / Bun.js installed
• Python 3.11
• Docker
• Firebase account
• Azure account (for production backend deployment)

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Local Development

1. Clone the repository

git clone https://github.com/yourusername/digital-extinction-tracker.git
cd digital-extinction-tracker