A recsys for healthy recipes, integrated into a telegram chatbot and focused on persuasive explanations to encourage users to adopt healthier eating habits.
python chatbot explanations python-telegram-bot recsys dialogflow
A comparison of novel methods for anomaly detection in the agri-food supply chain, specifically exploring the effectiveness of Autoencoders and Self-Organizing Maps in computer vision.
python computer-vision anomaly-detection pytorch tensorflow autoencoder self-organizing-map
Implementation of a small expert system to assist people in identifying hardware-related problems with their PCs.
prolog backtracking how why recursion
Implementation of a simple security cam that records video feed only when a face or a body is detected in the current frame.
python computer-vision opencv face-recognition haarcascade lbph eigenfaces
Implementation of an old-school themed text-adventure inspired by a Dungeons&Dragons quest.
java java-swing parser text-adventure
Machine Learning and Deep Learning models comparision for face recognition.
python computer-vision opencv svm knn rf lr cnn machine-learning deep-learning
Published in AlmaLaurea, 2021
The thesis analyzes the phenomenon of Big Data from a business perspective, contextualizing it within the framework of predictive marketing. It outlines the characteristics of Big Data, its strengths, weaknesses, opportunities, and threats, providing real-world examples. The thesis defines the integration of Big Data within corporate mechanisms, examines the techniques employed by highly successful companies, and introduces new roles necessary to fully leverage the information derived from Big Data. The aim is to offer the possibility of a competitive advantage in the business context.
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Published in AlmaLaurea, 2024
This thesis details the implementation of a recommendation system for healthy recipes, integrated into a chatbot. The system emphasizes persuasive explanations aimed at motivating users to adopt healthier eating habits. The chatbot collects user preferences, nutritional goals, dietary restrictions, and other relevant data to generate personalized recipe recommendations. It employs tailored persuasive explanations to highlight the nutritional values of recommended recipes and encourage healthier choices.
Download here
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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