A browser-based image classification application powered by TensorFlow.js that recognizes common objects from uploaded images while demonstrating client-side machine learning and responsive interface design.
ML model to predict mental health risk from lifestyle factors.
This a very simple SVM Spam Emails Classification problem, I used Sklearn library to train the model and get better results
Kaggle competition project for BI-RADS classification from mammography report text using BioBERTpt-clin and BERTimbau. Dataset not included due to competition rules.
The application classification sentiment base on vietnamese
Machine learning classifier that distinguishes sonar signals as Rocks or Mine, using Random Forest with cross-valited model comparison. Deployed as alive REST API with FastAPI
CADEIA DE CUSTÓDIA E PRESERVAÇÃO DE DOCUMENTOS SENSÍVEIS COM RASTREABILIDADE E AUDITORIA
DoD Banner Injection Proxy
web application that help people grow healthy plants
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