Is All Well AI Tool

This project is a team effort by:

• Viva
• Mohini
• Shivam
• Deepanshu

Objective

To develop a platform using advanced machine learning algorithms for automated ultrasound image analysis, providing detailed insights into plane classification, maternal health, and fetal health.

Problem Statement

Enhancing Prenatal Care through Advanced Ultrasound Analysis

• Background

  Traditional ultrasound analysis is often manual and subject to human error, requiring significant expertise which may not always be available.

• PROBLEM

  There is a need for an efficient, accurate, and accessible method to analyze ultrasound images to improve maternal and fetal health outcomes.

Technology Used

• At its core lies the creation of a comprehensive dataset and a suite of deep learning models.
• Comprising over 15,000 high-quality ultrasound images of a fetus at 23 weeks of gestation, this dataset is annotated with diagnostic planes, fetal biometric values, anatomical features, and bounding boxes for various fetal structures.

What Does our model offer

• Fetal orientation Model That can detect the structure of the foetus. --- Fetal thorax ,Maternal cervix , fetal brain, fetal femur.
• Maternal Health ---- it can detect mother health – safe , Risk , Severe on the basis of Calories, trimester , Sleep time and Heart

User Interface