1. Implemented NLP to develop AI voice bot assistant to book hospital appointments along with devising an interactive desktop application to manually book appointments via Python libraries and framework
2. Built classification and prediction models using scikit-learn to predict patient appointments in the future with 3 major identifying symptoms of sickness resulting in 83% model accuracy. Improved team collaborative competencies while deploying the project
3. Visualized past trend of patient records based on gender, locality, pre-existing health conditions and symptoms over Jupyter Notebook in form of storyboards including graphs and heat map of infection spread in area

• Platform : Jupyter Notebook
• Programming Languages : Python, SQL
• Python Libraries : tensorflow, pandas, numpy, Speech Recognizer 3.8.1, PyAudio 0.2.11+, PyQt5, seaborn, matplotlib
• Databases : MySQL

Patient Attendance in different Neighbourhoods

 

Male vs Female Patient Attendance in different Neighbourhoods

 

Male vs Female No Show Appointments

 

Patient Attendance in different Neighbourhoods

 

Age-Wise Attendance of Appointments

 

Age vs Diabetes vs Gender Heatmap showing one outlier

 

 

Hypertension vs Diabetes vs Alcoholism