ai_accelerotor_soc_design_Project Proposal_djangomedai.pptx

web app proposal

1. DjangoMedAI: Empowering Healthcare with AWS and Django

2. Presenter : Sawera Khurshid      2023299011 Course: AI Accelerator SoC Design ‹#›

3. DJANGO MED AI The web framework used to build the platform. Indicates the medical focus of the project. Highlights the use of artificial intelligence for image analysis.

4. Introduction Develop a web platform for automated medical image analysis Core Technologies : Django, AWS, Convolutional Neural Networks (CNNs) Django : A web framework for building web applications quickly and easily AWS : Cloud services for storage, computing, and machine learning CNNs : Deep learning models for analyzing images Target Users : Healthcare professionals (radiologists, doctors) Secure image upload, automated analysis, result visualization

5. Proposed Methodology User Interaction : User login + image upload Image Storage : Store Images in AWS S3 (AWS) Pre-processing : Resizing, normalizing etc. Image Analysis : CNN model + generate predictions. Result Storage : Store in Database (Django) Result Display : Visualize Results like textual descriptions, probability scores, and annotated images. ‹#›

6. Workflow

7. Goal Integrate pre-trained Convolutional Neural Network (CNN) models seamlessly into Django web applications, leveraging AWS infrastructure for efficient storage and computation. Ensure real-time analysis by optimizing communication between Django backend and CNN models deployed on AWS. Design a scalable system capable of handling large volumes of medical images stored securely on AWS S3. ‹#›

8. Thank You! ‹#›