Projects on Neural Networks for Mail Spam Detection - Cognitive Computing Systems (MEng), supervised by Prof. P. Maresca (2024)
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Updated
Jun 28, 2024 - Jupyter Notebook
Projects on Neural Networks for Mail Spam Detection - Cognitive Computing Systems (MEng), supervised by Prof. P. Maresca (2024)
Utilizing AI and machine learning, the project extracts text from images via Apple's Vision Framework and offers instant answers to questions in documents through the BERT model.
a LLM cookbook, for building your own from scratch, all the way from gathering data to training a model
A repository of all the small and personal projects created by me
Connecting Job Seekers and Employers: Our comprehensive job website simplifies the job search process, offering a user-friendly platform for candidates to browse and apply for diverse opportunities. People can connect via personnel mesages. Build their portfolio and showcase their skills
detect tone of voice in a text message using BERT model in pytorch.
This project provides a Streamlit web application for sentiment analysis using a pre-trained BERT model from the Hugging Face Transformers library. The model predicts the sentiment of a given text as either positive or negative.
In this project, we have worked on a Natural Language Processing classification model to analyze the sentiments of users' comments.
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].
This Project provides an in-depth analysis of the sentiment analysis that leverages BERT embeddings.
This repository contains the code and data for the text re-identification attack presented in B. Manzanares-Salor, D. Sánchez, P. Lison, Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack, Submitted, (2024)
😷 The Fill-Mask Association Test (FMAT): Measuring Propositions in Natural Language.
This repository contains a FastAPI project implementing a question-answering bot using the BERT model from Hugging Face. It leverages a pre-trained BERT model fine-tuned on the SQuAD dataset to provide answers based on a given context. The project includes a Dockerfile for easy containerization and deployment.
The goal here is to develop a simple mock web app book library for demonstrating a possible use of AI for aiding users
DocuChat is a document-based chatbot that leverages advanced NLP models to provide intelligent responses based on the content of uploaded documents. This project consists of a PHP frontend and a Python backend.
Words suggestion microservice module
Official repository of my Master's Thesis project: "Developing an AI-Powered Voice Assistant for an iOS Payment App"
This AI project aims to classify people's reviews from watching films using the IMDb dataset and an encoder-based transformer architecture, specifically the well-known LLM model BERT.
Identifying psychosis in teens using computer vision, EDA, and gesture analysis.
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