forcasting

This repository holds the project Food Products Sales Forecasting which includes data preparation, data visualization, and forecasting for sales of food products.

Description An AI-powered climate analytics pipeline for trend detection, anomaly identification, and time-series forecasting. It processes decades of environmental data to quantify warming rates and predict future shifts via an interactive Streamlit dashboard.

Weather app that supports all cities

AI-powered Pandemic Intelligence System using LSTM, XGBoost, and Isolation Forest with FastAPI backend and Streamlit dashboard.

Seasonal ARIMA modeling toolkit for time series forecasting with automated parameter selection

End-to-end Data Analytics project analyzing Toronto Island Ferry operations using Python, Streamlit, Plotly, and Prophet for interactive dashboards, operational insights, and passenger demand forecasting.

CardioGlobal is a project built for healthcare professionals and researchers who need a single tool to understand worldwide cardiovascular disease patterns. It combines WHO/GHO global mortality data with the UCI Cleveland Heart Disease dataset, and surfaces three machine learning components in a dedicated ML Insights tab.

Bayesian drought modelling and probabilistic forecasting framework for the Chélif basin (Algeria), combining SPI, scPDSI, CMIP6 projections, and uncertainty-aware time-series analysis.

Data repository linked to a paper.

University of Utah—MKTG 6600: Business Algorithms | Taken: Fall 2020

Python, Machine Learning

This project focuses on forecasting electricity consumption for a future period using different time series models, both with and without external covariates such as outdoor temperature.

🌾Predicting Prices of Agri-Horticulture Commodities This project aims to build a machine learning-based prediction system for forecasting the prices of various agricultural and horticultural commodities. The goal is to help farmers, traders, and policymakers make data-driven decisions based on historical price trends and market insights.