Built an AI-powered citizen engagement platform that analyzes open-ended survey responses from Bari residents about their vision for the city. Implemented advanced NLP machine learning (BERTopic) to automatically discover themes in thousands of text responses, identifying what citizens care about most. Created an interactive web visualization with dual views (circle packing & treemap) allowing stakeholders to explore topics, keywords, and original responses through an intuitive, mobile-responsive interface. Transforms qualitative citizen feedback into actionable insights for urban planning and policy decisions.

Developed an interactive geographic heatmap platform for analyzing urban activity patterns across Bari neighborhoods. Users can visualize location frequency data through color-coded zones, toggle between satellite and standard views, and switch between different neighborhood boundaries. Features smart masking to focus on specific areas, real-time statistics on hover, and fractional zoom controls. Ideal for urban planning, commercial analysis, and mobility studies, providing decision-makers with clear visual insights into spatial patterns across the city.

Created a comprehensive spatial analysis system combining Python data processing with an interactive web mapping application. Analyzes location frequency data across Bari, cleaning and validating coordinates, calculating intensity metrics, and generating structured datasets. The web interface visualizes this as a dynamic heatmap with customizable layers, neighborhood boundaries, adjustable radius controls, and selective area masking. Enables stakeholders to understand and present spatial patterns for commercial planning, urban development, or mobility analysis.

Developed a full-stack survey analysis solution processing responses from Bari residents about social spaces and cultural life. Built Python pipeline to categorize question types (categorical, Likert scale, multiple-choice), clean data, and export structured JSON. Created modular web dashboard with D3.js featuring three visualization modes (bar charts, pie charts, treemaps), drag-and-drop reordering, five color themes, and individual chart export. Delivers professional, interactive reports that make complex survey insights accessible to non-technical stakeholders while maintaining analytical depth.

Built an advanced statistical analysis system to uncover relationships in youth survey data from Bari. Implemented sophisticated data preprocessing (one-hot encoding, multi-label binarization) and correlation analysis to identify significant patterns between demographics, behaviors, and attitudes. Created interactive visualization tool with color-coded heatmap matrices, customizable color palettes, hover tooltips, and PNG export. Transforms complex correlation data into clear visual insights, helping researchers and decision-makers discover meaningful connections in survey responses.