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Doctors' Appointment & Consultation System

Final Year Project

A final year project combining appointment no-show prediction, expected patient-volume forecasting, and database work with structured project delivery.

  • Python
  • PostgreSQL
  • Supabase
  • SQL
  • Random Forest
  • XGBoost
Project cover illustration of an appointment system with no-show prediction and patient-volume charts

Project overview

Final year academic project at Iqra University, created in connection with Indus Hospital.

A final year project involving database development and predictive modeling for appointment no-shows and expected patient volume.

The work includes PostgreSQL, Supabase, SQL, and Python, with Random Forest and XGBoost, project delivery using Jira, and technical documentation.

Key features

  • Appointment no-show prediction
  • Expected patient-volume forecasting
  • PostgreSQL and Supabase database work
  • SQL and Python development
  • Random Forest and XGBoost modeling
  • Project delivery using Jira
  • Technical documentation