https://github.com/davidemodolo/website
Personal Website
https://github.com/davidemodolo/website
css html javascript ml5js tensorflowjs
Last synced: 10 months ago
JSON representation
Personal Website
- Host: GitHub
- URL: https://github.com/davidemodolo/website
- Owner: davidemodolo
- Created: 2025-07-01T14:46:29.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-07-27T18:09:24.000Z (11 months ago)
- Last Synced: 2025-07-27T20:28:35.949Z (11 months ago)
- Topics: css, html, javascript, ml5js, tensorflowjs
- Language: HTML
- Homepage: http://www.davidemodolo.dev/
- Size: 2.83 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# [Personal Website](davidemodolo.dev)
The idea is to have an interactive version of my CV.
# Content of the web page
Passionate about exploring all aspects of Artificial Intelligence - from computer vision to natural language processing with deep learning and classical machine learning.
Eager to apply my knowledge in real-world scenarios and continue growing in this exciting field.
## Education
Master's Degree in Artificial Intelligence Systems
@ University of Trento | Trento, Italy
Bachelor's Degree in Computer Science
@ University of Trento | Trento, Italy
## Work Experience
AI Engineer Intern
@ Eurecat Technology Center | Barcelona, Spain
Android App Developer Intern
@ University of Trento | Trento, Italy
## University Projects
Project
Course
Slides
Report
Code
COVID-19 Lung Ultrasound Images Classification
Medical Imaging Diagnostics
📊
📄
💻
Joint Intent Detection and Slot Filling
Natural Language Understanding
📄
💻
Domain Adaptation / Transfer Learning - team project
Deep Learning
💻
Autonomous Delivery BDI Agent - team project
Autonomous Software Agents
📊
📄
💻
Parallel Closest Pair of Points - team project
High Performance Computing
📊
📄
💻
## Interactive Demos
### Digit Classifier
A Convolutional Neural Network (CNN) digit recognition demo trained on the MNIST dataset using **TensorFlow.js**.
### Sentiment Analysis
An AI model that analyzes text sentiment on a scale from 0 (negative) to 1 (positive), using the **ml5.js** library.
## General Skills
- Artificial Intelligence
- Machine Learning & Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Automated Planning
- Software Engineering
- Mobile Development (Android)
- Parallel & High-Performance Computing
- Teamwork & Collaboration
- Research & Technical Writing
## Structure
```
.
├── digit-classifier-tf-js // html used for training on the mnist dataset
├── favicon.ico
├── image.png
├── index.html
├── js // all the scripts for the interactive webpage
│ ├── easter-egg.js // spoiler?
│ ├── mnist-classifier.js
│ ├── sentiment-analyzer.js
│ └── window-manager.js
├── mnist-model.json // trained model structure
├── mnist-model.weights.bin // trained model weights
├── MyResume.pdf // full resume to download
├── README.md
└── styles.css
```