My internship project (May 26 – August 2024) creating a hybrid detection system (YOLOv8+SVM) for malaria diagnosis in Tunisian healthcare settings. It features cellular analysis via an interactive Streamlit interface, developed at CRISTAL Lab and in collaboration with Charles Nicole Hospital.
# TunisiaAI Malaria Detection
**This repository contains the work I developed during my summer internship at the CRISTAL Lab**
*(Research Center in Networks, Image, Systems, Architecture, and Multimedia - LR99ES25)*.
**The project was a collaborative effort between CRISTAL Lab and the Parasitology & Mycology Lab Center at Charles Nicole Hospital, Tunisia.**
## Technical Report
A detailed technical report outlining the methodologies and findings is available on my ResearchGate profile:
**Detection of Malaria from Microscopic Images**.
## 🚀 Streamlit App Concept
### 🎬 App Demo GIF
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### 🔬 Bringing AI to Malaria Diagnosis
This app is designed to **assist doctors** in diagnosing malaria from blood smear images using an interactive **Streamlit** interface. Developed with **custom ML tools** tailored for **Tunisian hospitals**, it adapts to real-world **microscopic imaging conditions** for accurate and reliable parasite detection.
### ⚡ How It Works
- **Upload a Blood Smear Image:** Drag and drop your sample image into the app.
- **AI-Powered Parasite Detection:** The model highlights malaria parasites with bounding boxes.
- **Smart Classification:** Each detected parasite is labeled by type.
- **Dynamic Visualization:** See instant stats, charts, and a clear infection diagnosis.
✅ **Intuitive. Fast. Designed for medical professionals.**
## Data Collection
The dataset was gathered at the **Parasitology & Mycology Lab Center** of Charles Nicole Hospital using blood smears infected with malaria. In close collaboration with expert biologists and doctors over multiple sessions, we documented the data collection process. Images were captured with a **Canon EOS 1000D** and a **Zeiss Axiolab microscope** at **100x magnification**.
Dataset Capture Setup (photo captured during sessions)
Dataset Sample (photo captured during sessions)
## Upcoming README Updates
**Note:** While the current technical report focuses on the core functionalities, additional f …