APT — Accurate Precise Timely

Overview

APT (Accurate, Precise, Timely) is an AI-driven patient appointment and hospital resource optimization system. The project applies AI models to patient data to support more accurate and timely diagnosis and to offer predictive insights for preventive care, with the stated goals of reducing human error, improving decision-making and enhancing patient care.

The project runs on localhost, and the frontend part is deployed.

What it does

The README's screenshots show the main surfaces of the application:

• A home page and a patient sign-up page
• An admin dashboard
• Real-time equipment predictions
• Staff availability predictions

How it's built

Technologies used, as listed in the README:

• Web: Flask, HTML, CSS, Bulma
• ML / forecasting: TensorFlow, XGBoost, Scikit-learn, Statsmodels
• Visualisation: Matplotlib
• Database: PostgreSQL

Context

Built by team Tomodachi (Pratyaksh Kumar, Anshika Singh and me, as team leader). Selected among the top 30 at the AI4Humanity Summit.

• Presentation
• Video demonstration
• Source code