Papri Majumdar

Interactive Power BI dashboard for Dr. Sheba healthcare platform featuring patient insights, business analytics, operational KPIs, service performance, and data-driven healthcare visualization.

AI-powered Doctor Recommendation System built with Python and Django that helps users find the best doctors based on location, specialization, consultation fee, online consultation, and emergency services. Uses machine learning-based quality prediction to provide intelligent real-time doctor recommendations from 500+ qualified doctors.

AI-powered legal document processing system with OCR extraction, grounded draft generation, and evaluation workflow.

A real-time sign language detection system using machine learning and computer vision techniques to recognize hand gestures and translate them into text or speech. This project aims to bridge the communication gap between hearing-impaired individuals and others through an intelligent and interactive solution.

Healthcare Revenue Prediction using Machine Learning is a data-driven project that forecasts future healthcare revenue using historical financial and operational data. It applies preprocessing, feature engineering, and predictive modeling to generate accurate revenue estimates and support informed business decision-making.

Machine learning–powered commission revenue forecasting system for a digital healthcare service platform using Django and Random Forest regression.

Intelligent healthcare platform leveraging machine learning to help patients find the right doctors based on location, specialization, fees, and services.

Intelligent healthcare platform leveraging machine learning to help patients find the right doctors based on location, specialization, fees, and services.

Automated email confirmation system for Domino's Pizza Bangladesh orders using Google Forms + Zapier + Gmail.

Projects and assignments from the SheSTEM Python for AI and Machine Learning course. Includes Python exercises, AI concepts, and ML model implementations.