A Chrome Extension that promotes politically diverse news reading with Artificial Intelligence!
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Updated
Nov 27, 2021 - JavaScript
A Chrome Extension that promotes politically diverse news reading with Artificial Intelligence!
An Image captioning web application combines the power of React.js for front-end, Flask and Node.js for back-end, utilizing the MERN stack. Users can upload images and instantly receive automatic captions. Authenticated users have access to extra features like translating captions and text-to-speech functionality.
Educational predictions on stock market with Tensorflow.js sequential RNN with LSTM layers on a React web App.
Find the origin of words in every language using a Deep Neural Network trained to create an etymological map.
同济大学CS《数据库系统原理》课程设计: 股票交易系统TongJi University CS database assignment: stock-system
Zephyr is a platform which provides users with the predicted Air Quality Index levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.
Open-source: AI powered business names generator. Proof of concept.
historical and predicted ICE arrest data
Stock Market Forecast API
This is a Streamlit app for predicting stock prices. It uses data from Yahoo Finance to show the stock's closing price, a chart of the closing price vs time, and a chart of the closing price vs time with the 100-day moving average and 200-day moving average. The user can input a valid stock ticker symbol and view the data for that stock.
a platform which provides users with the predicted Air Quality Index levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.
Detect instances of bullying in an E2E chat
IRS PM IS04FT Group 11 Smart Portfolio Advisor
This project basically aims to provide a visual representation and comparative analysis of close price data related to different company ticker. It involves an interactive dashboard for users to display analysis and prediction of stocks data by using LSTM + XG-Boost model
Web application that allows users to input their past expenditures and view future predictions of their spending habits
machine learning front-end avec TensorFlowJs
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