Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Prince-109/mediscan-ai

Domaine:

healthcare

Type de record:

software
Créateur:
Pri
Hôte:
AI-powered multimodal disease screening platform using photo, voice, and symptom analysis. Offline, multilingual, privacy-first healthcare assistant for low-resource communities. # 🩺 MediScan AI **An offline-first, multimodal AI health-screening assistant for low-resource communities.** --- ## 🎯 What It Does MediScan AI is a **privacy-first, multimodal health-screening platform** built for communities with limited access to doctors and stable internet. A patient can describe symptoms by **photo, voice, or text** — the system classifies the issue and generates a preliminary assessment, entirely **without sending data to the cloud**. Built as a submission to **Samsung Solve for Tomorrow**. ## ✨ Key Features - 🖼️ **Skin condition classification** — fine-tuned EfficientNet-B3 model for visual symptom screening - 🎙️ **Voice-based symptom intake** — Whisper transcribes spoken symptoms in multiple languages - 🧠 **RAG-powered symptom analysis** — BioMistral-7B + LangChain + FAISS retrieve relevant medical context before generating an assessment, reducing hallucination - 📱 **Cross-platform mobile app** — Flutter frontend designed for low-end devices and intermittent connectivity - 🔒 **Privacy by design** — inference runs locally/offline wherever possible; no raw patient data leaves the device unnecessarily - 🌍 **Multilingual support** — built for accessibility across non-English-speaking communities ## 🏗️ Architecture ``` ┌─────────────┐ ┌──────────────┐ ┌────────────────────┐ │ Flutter App │ ──▶ │ FastAPI │ ──▶ │ EfficientNet-B3 │ (image → classification) │ (Patient UI)│ │ Backend │ ──▶ │ Whisper │ (voice → text) └─────────────┘ │ │ ──▶ │ BioMistral-7B │ (RAG symptom analysis) └──────────────┘ │ + LangChain + FAISS │ └────────────────────┘ ``` ## 🛠️ Tech Stack | Layer | Technology | |---|---| | Backend | FastAPI (Python) | | Image Model | PyTorch, EfficientNet-B3 | | Speech-to-Text | OpenAI Whisper | | Symptom Reasoning | BioMistral-7B, LangChain, FAISS (RAG) | | Mobile Frontend | Flutter | | License | Apache 2.0 | ## 🚀 Getting Started ```bash # Clone the …

Visit

github.com

Licenses

Apache-2.0

Similaires

Rovket-Prince/sauti-aiNshogoza/MediScanZarethustra-code/mediscankofboat/mediscan-ghanatekle-eyesus/MediScanSaidou-L2I/mediscan-africa

Rovket-Prince/sauti-ai

Building African-rooted AI datasets and intelligence infrastructure. # sauti-ai Building African-ro

Nshogoza/MediScan

A mobile and web app for verifying pharmaceutical products using QR scanning and cloud storage. Tack

Zarethustra-code/mediscan

🩺 MediScan — upload a prescription or lab-report photo and get a plain-language explanation (EN/Yoru

kofboat/mediscan-ghana

Wholesale drug price transparency platform for Ghana

tekle-eyesus/MediScan

A hybrid offline/online medical AI assistant for Pneumonia detection featuring explainable heatmaps

Saidou-L2I/mediscan-africa

📌 Description du projet Ce projet consiste en le développement d’une application web intelligente p