A Python script to automate CSV uploads in OSPOS using Selenium.
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Updated
Feb 23, 2025 - Python
A Python script to automate CSV uploads in OSPOS using Selenium.
A user-friendly web application for performing data analysis with machine learning techniques, built with Streamlit
GPay-style personal expense tracker built with Django and Chart.js
A machine learning-powered budget tracking app built with Streamlit. Users can upload CSVs of expenses, which are automatically classified into needs and wants using a trained ML model. Firebase authentication and storage are used to personalize dashboards, track savings goals, and visualize spending trends with interactive charts.
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