Post by Yomna Hesham

Name: ✨Thrilled to announce that We were honored to present our project during a recent press interview at
Uploaded: 2025-08-30T15:02:17.816Z
Channel: Yomna Hesham
Description: ✨Thrilled to announce that We were honored to present our project during a recent press interview at Al-Ahram Foundation. Our team is working to improve scoliosis monitoring by providing a safe, AI-po

Full Stack .Net trainee @ITI 6 months | Teaching Assistant @Acu | Software Engineer | Backend Developer

✨Thrilled to announce that We were honored to present our project during a recent press interview at Al-Ahram Foundation. Our team is working to improve scoliosis monitoring by providing a safe, AI-powered alternative to traditional X-rays — with a strong focus on patient safety, accessibility, and medical innovation. 🔍 Project Summary Our solution provides a radiation-free and safe way to monitor the progression of scoliosis without the need for repeated X-rays. By combining advanced 2D and 3D image analysis with artificial intelligence, the system helps doctors detect and track spinal curvature at early stages — supporting more accurate and timely treatment decisions. This system is developed with a layered software architecture that separates the user interface, core processing, and data storage. This structure ensures it is easy to maintain, scalable, and adaptable to future enhancements, while delivering accurate and efficient results for healthcare professionals. ✨ Core Features 🔹 2D and 3D Image Analysis • 3D Analysis: Uses the Tripo API to convert a single 2D image of the back into a 3D model, helping doctors visualize the spine in detail. • 2D Analysis: A locally hosted tool measures key angles and points on the patient’s image to assess posture accurately. 🔹 Workflow • Doctors log into the system and upload patient images. • Images are processed through both 2D and 3D tools. • Results are displayed in real-time and stored for future comparison. 🛠️ Technology Stack • Frontend: Razor Pages, HTML, JavaScript • Backend: ASP.NET Core • Database: Microsoft SQL Server • APIs: Tripo 3D API (external), 2D analysis API (local via Ngrok) This structure ensures the system runs efficiently, is easy to update, and keeps patient data secure. This milestone wouldn’t have been possible without the amazing efforts of my team Manar Amr , Noha Elsayed , Mohamed Dawood ,Gasser Ahmed and the supervision of Dr. Nehal Khaled whose expertise guided us every step of the way. We’re proud to develop a solution that brings modern technology into healthcare — helping doctors work more effectively and keeping patients safe from unnecessary radiation. 📸 Watch our interview below! Thank you for your continued support! #Scoliosis #RadiationFree #HealthCareInnovation #HealthTech

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