# BioLens.AI

BioLens is a comprehensive AI-powered botanical platform designed for flower identification, plant disease diagnosis, and food safety monitoring.

## Purpose
To provide users with instant, accurate botanical information through computer vision and sensory analysis heuristics.

## Key Modules

### Flower Identification (`/flower-identifier`)
* AI-powered species recognition for 200+ flower types.
* Multilingual botanical details (11 languages).
* High-accuracy visual matching.

### Plant Disease Identifier (`/plant-disease-identifier`)
* Diagnostic tool for pests and botanical diseases (aphids, blights, mildews, etc.).
* Treatment recommendations and prevention guides.

### Food Guard: Ripening Detection (`/ripening-detection`)
* Specialized tool to detect artificial ripening (Calcium Carbide/Ethrel) in fruits.
* Currently supports: Mango, Banana, Tomato, Papaya.
* Combines AI visual scan probability with a human physical sensory checklist.

## Technical Stack
* **Framework**: Angular 12+ (SPA with SSR/Prerendering support via Angular Universal).
* **Styling**: Vanilla CSS with Bootstrap 4 for layout.
* **Logic**: TypeScript.
* **SEO**: Sophisticated meta-tagging and canonical URL management per module.
* **Build**: Prerendered static site generation (SSG) for high search visibility.

## Navigation & Discovery
* **Home**: Feature discovery and recent identification highlights.
* **Sitemap**: `/sitemap` provides a structured map of the identification tools and the 200+ species database.
* **Breadcrumbs**: Consistent navigation across deep detail pages.

## Development Context
* The `/ripening-detection` module currently uses a high-fidelity simulation for AI vision results, designed to be swapped with a TensorFlow.js or backend ML API.
* Component styles focus on a "Premium Nature" aesthetic with heavy use of glassmorphism and organic color palettes.
* Production URL: https://biolens-ai.com/