Francesco D'Aleo's repositories
Dermachat
DermaChat is a Django-based web application designed to streamline dermatological consultations. This team-developed project offers a comprehensive solution for managing medical images and triage lines, enabling effective communication between patients and dermatologists. 🏥
Coral_Health_Classification_with_CNN
Convolutional Neural Network (CNN) model designed to distinguish between healthy and bleached corals using image data. Coral reefs are critical biomarkers for water purity and overall marine ecosystem health. With the increasing threat of climate change and pollution, monitoring coral health is essential for environmental conservation efforts.
CD73_analyzer_Django
A Django application for predicting the bioactivity of CD73 inhibitors using molecular descriptors from the PaDEL-Descriptor software. This tool utilizes machine learning models trained on the ChEMBL Database to make predictions providing a user-friendly interface.
CD73_analyzer_Streamlit
Streamlit application for predicting the bioactivity of CD73 inhibitors. The app utilizes machine learning models trained on molecular data to provide predictions for potential CD73 inhibitor compounds.
Recchettobot
A Tkinter-based app with organized summaries to help prepare for the State Exam 2024. I hope it's helpful to all fellow biologists :)
Aircraft_API
The Aircraft API is a powerful tool for accessing and managing aircraft data. Built with FastAPI and PostgreSQL, it seamlessly integrates with various aircraft data sources. Dockerizable and designed to leverage AWS services, including S3 for scalable data storage, the API also integrates with Apache Airflow for orchestrating complex data pipeline.
Finance-Sentiment-Analysis
Finance Sentiment Analysis is a project aimed at analyzing emotions and opinions in financial texts to gauge market sentiment. Utilizing advanced machine learning and natural language processing techniques, it parses news, reports, and social media, providing insights for informed investment decisions and market trend predictions.
DataExtractorFromKaggleToS3
Automates uploading Kaggle datasets to AWS S3, ensuring seamless progress tracking and error recovery.