Dario Mangini

1. HMI Movie Data Cleaning & Visual Analytics, Python Data Pipeline, Cleaned and integrated multiple movie-related datasets (movies, actors, crew, genres, countries, studios, releases) using Pandas and NumPy, handling missing values, duplicates and inconsistent data types to produce clean CSVs., Designed exploratory and visual analysis in Jupyter Notebooks, creating charts with Matplotlib and Seaborn to study trends by studio, genre, year and other key movie features., Built interactive dashboards and maps with Plotly, Folium and GeoPandas (e.g. choropleth maps and marker clusters)

2. AI-Driven Sushi Ordering Assistant, Intelligent Conversational Ordering System, Developed an end-to-end AI-based ordering assistant for a sushi restaurant that guides users through menu exploration, personalised suggestions and checkout via natural-language interaction., Applied natural language understanding and semantic search over a structured menu to recommend items, handle preferences and dietary constraints, and convert free-text requests into structured, machine-readable orders., Designed a modular backend with REST APIs, session management and persistent cart handling, focusing on robustness, scalability and clean separation between business logic, data storage and AI integration.

3. Vision-Based Fall Detection for Elderly Care, YOLO & Activity Recognition, Trained an object detection and activity recognition pipeline on public fall detection datasets to identify human falls and distinguish them from daily activities., Built a reproducible evaluation pipeline (data splits, metrics, inference scripts) and tested the system on simulated home camera scenarios for elderly monitoring.