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ianphanuel-glitch/AfriLens-AI

Domain:

socioeconomic

Record type:

software
Creator:
ian
Host:
Vision Intelligence for African SMEs # AfriLens AI – Vision Intelligence for African SMEs > **Take a photo. AfriLens thinks. You get clean numbers.** AfriLens AI transforms photos of African SME receipts into trusted financial intelligence using computer vision, rule-based reasoning, and context-aware validation. ## 🎯 The Problem African SMEs struggle with manual receipt management: - **Time-consuming**: Hours spent manually entering receipt data - **Error-prone**: Human errors in transcription - **No insights**: Receipts sit in folders, unused - **Poor quality**: Handwritten, faded, or damaged receipts are hard to process ## ✨ The Solution AfriLens AI uses advanced OCR and intelligent extraction to: 1. **Extract** structured data from receipt images 2. **Validate** data quality with trust scores (0-100) 3. **Flag** anomalies and inconsistencies 4. **Provide** actionable insights for business decisions ## πŸ—οΈ Architecture ``` β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Frontend β”‚ React + Vite + Tailwind CSS β”‚ (React) β”‚ Mobile-first, judge-friendly UX β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜ β”‚ HTTP/REST β”Œβ”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β” β”‚ Backend β”‚ FastAPI + Python 3.11 β”‚ (FastAPI) β”‚ Modular AI pipeline β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜ β”‚ β”Œβ”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ AI Processing Pipeline β”‚ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ β”‚ 1. Image Preprocessing β”‚ β”‚ - Resize, grayscale, threshold, deskew β”‚ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ β”‚ 2. OCR Engine (Tesseract) β”‚ β”‚ - Text extraction with confidence β”‚ β”‚ - Line-by-line processing β”‚ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ β”‚ 3. Rules Engine (CORE INTELLIGENCE) β”‚ β”‚ - Vendor detection β”‚ β”‚ - Date parsing (multiple formats) β”‚ β”‚ - Line-item extraction β”‚ β”‚ - Price normalization β”‚ β”‚ - Total detection β”‚ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ β”‚ 4. Validator …