Akajiaku1 / Milestone-Achievement-ForecastLinks
☆16Updated 3 months ago
Alternatives and similar repositories for Milestone-Achievement-Forecast
Users that are interested in Milestone-Achievement-Forecast are comparing it to the libraries listed below
Sorting:
- ☆16Updated 3 months ago
- ☆16Updated 3 months ago
- Forest Fire Risk Prediction model using a machine learning approach (Random Forest Classifier) trained on environmental data (temperature…☆16Updated 2 months ago
- ☆16Updated 3 months ago
- ☆15Updated 3 months ago
- ☆16Updated 3 months ago
- ☆16Updated 3 months ago
- This project applies deep learning (U-Net architecture) to detect marine debris from satellite or drone imagery.☆16Updated 2 months ago
- ☆16Updated 3 months ago
- This project is a GIS-based Streamlit application for identifying optimal sites for renewable energy development (solar, wind, hydro) usi…☆18Updated 2 months ago
- This project provides a complete workflow for mapping, visualizing, and analyzing noise pollution levels in urban areas using geospatial …☆16Updated 2 months ago
- This project provides a simple yet powerful Streamlit dashboard to estimate software development effort using historical project data and…☆17Updated 2 months ago
- This project detects water bodies from satellite imagery using remote sensing techniques and image classification algorithms, such as NDW…☆16Updated 2 months ago
- ☆15Updated 3 months ago
- This project uses Sentinel-1 Synthetic Aperture Radar (SAR) imagery and Google Earth Engine to detect oil spills in water bodies through …☆17Updated 2 months ago
- ☆16Updated 2 months ago
- This project implements a basic Rainfall-Runoff Modeling framework using the SCS Curve Number (CN) Method to assess flood risk based on d…☆18Updated 2 months ago
- This project implements an Automated ETL (Extract, Transform, Load) Pipeline that fetches daily weather data, processes it, and stores it…☆13Updated 5 months ago
- ☆16Updated 2 weeks ago
- ☆16Updated 3 months ago
- Urban Heat Island (UHI) analysis combines satellite, climate, and urban data to model city-scale temperature anomalies. We assemble open …☆18Updated 2 months ago
- Sea Surface Temperature (SST) Anomaly Prediction using a deep learning approach with LSTM (Long Short-Term Memory) and visualization☆13Updated 3 weeks ago
- A lightweight geospatial workflow for detecting shoreline changes using Sentinel-2 imagery, NDWI, and Google Earth Engine (GEE). It quant…☆17Updated 2 months ago
- ☆16Updated 3 months ago
- ☆16Updated 3 months ago
- A complete, production-ready solution for renewable energy forecasting that handles real-world challenges like missing data and temporal …☆12Updated last week
- ☆13Updated 3 months ago
- This project classifies extreme weather events using synthetic data and machine learning techniques. It demonstrates how to generate real…☆13Updated 2 weeks ago
- This project demonstrates a real-time data pipeline designed for IoT sensors that monitor environmental conditions such as temperature an…☆13Updated 5 months ago
- ☆12Updated last week