Web scraper which aggregates pre-print academic economics papers from 20+ sources; presents titles, abstracts, authors and hyperlinks on an online dashboard. Auto-updates daily.
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Updated
Jun 5, 2024 - Python
Web scraper which aggregates pre-print academic economics papers from 20+ sources; presents titles, abstracts, authors and hyperlinks on an online dashboard. Auto-updates daily.
An example dashboard developed in streamlit
Dashboarding & Forecasting Security Incidents @ Toronto Metropolitan University
A dashboard created using Streamlit Python Framework.
Federated Learning Dashboard for CICIoT Dataset
This repository contains files from a client project aimed at developing a Streamlit app for processing and visualizing financial data.
Used streamlit and to present data while manipulating SQL queries from local server
Streamlit-based dashboard for monitoring environment performance
AgriBot365 is a smart farming project that uses IoT to revolutionize agricultural practices. This Dashboard serves as frontend for project and is built with Python and Streamlit. See example.com for backend component.
This project helps user to perform trend analysis, pattern recognition, and deriving data insights through exploratory data analysis (EDA) for the Airbnb data. Created an interactive Powerbi dashboard to analyze Airbnb data.
Deploying Machine Learning Trained Models at Work
Your AI assistant for understanding EXIF data
A light-weight web application that provides realtime data for several Foreign and Crypto currency exchange rates and allows user to find the realtime status of the same along with the ability to perform currency conversions.
The Stock Dashboard is a simple Python application that provides an interface for analyzing stock data. It offers visualizations, statistics, and custom alerts, allowing users to track stock prices, financial metrics, news sentiment, and portfolio performance.
The Intelligent Authentication Gateway (IAG) seamlessly integrates traditional passwords with FIDO2 security, dynamically adjusting authentication based on risk levels. Enhancing security while ensuring user convenience, it achieves a 97% accuracy rate. The IAG offers a robust solution for elevating authentication standards.
CI PP5 - Predictive Analytics
Ini adalah tugas akhir dari kelas Dicoding Menjadi Data Analist
PhonePe Pulse Data Visualization analyzes and visualizes transaction, insurance, and user data from the PhonePe app in India using Python, Pandas, NumPy, MySQL, Streamlit, and Plotly for interactive insights.
This a complete CRUD operation ready dashboard for school database management system.
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