S

streamlit

This project focuses on building a Lyric Classification Model using LSTM (Long Short-Term Memory) and CNN (Convolutional Neural Networks). The models' purpose is to identify which artist a given lyric belongs to. Users can input lyrics and the models will predict the associated artist, aligning with the course's focus on the practical implementation of Natural Language Processing (NLP) tasks.

An advanced Streamlit dashboard providing real-time and historical analytics for PayPal USD (PYUSD) on the Ethereum blockchain. This version (v2.1) is powered by Google Cloud Platform (GCP) Blockchain RPC, MongoDB for data caching, persistence, and search, a Google Gemini AI assistant, and a NewsAPI feed. It offers extensive event tracking (Transfers, Mint, Burn, Approvals), network graph visualization, historical analysis, address tagging, a MongoDB-backed watchlist, and a conceptual simulation of bio-implant payments.

This Car Prediction Project aims to predict v price, using Regression models. The project contains a collection of data files, model files, and Python scripts necessary for training and deploying car prediction Price models. This project encompasses a comprehensive set of data files, serialized models, and Python scripts necessary for training, evaluating, and deploying car price prediction models.