This project is about building StunTrack, a web-based platform to track, analyze, and help prevent stunting in children aged 0–5 years. The system aims to process questionnaire data from parents or guardians to determine nutritional status, identify key stunting risk factors, and generate data-driven recommendations. Using Flask and Python, the data is collected, processed, and stored in a centralized SQLite database, while HTML, CSS, and JavaScript are used for the user interface. Data is visualized with Chart.js and delivered through automated email reports, helping health workers and families monitor child growth and make more informed decisions.