Akajiaku1 / Client-Satisfaction-Score-Predictor
☆45Updated last month
Alternatives and similar repositories for Client-Satisfaction-Score-Predictor
Users that are interested in Client-Satisfaction-Score-Predictor are comparing it to the libraries listed below
Sorting:
- This project uses Sentinel-1 Synthetic Aperture Radar (SAR) imagery and Google Earth Engine to detect oil spills in water bodies through …☆45Updated 2 weeks ago
- ☆45Updated last month
- Forest Fire Risk Prediction model using a machine learning approach (Random Forest Classifier) trained on environmental data (temperature…☆45Updated last week
- ☆45Updated last month
- This project applies deep learning (U-Net architecture) to detect marine debris from satellite or drone imagery.☆44Updated 2 weeks ago
- Urban Heat Island (UHI) analysis combines satellite, climate, and urban data to model city-scale temperature anomalies. We assemble open …☆45Updated last week
- ☆45Updated 3 weeks ago
- ☆45Updated last month
- ☆37Updated last month
- The Climate Change Trend Analyzer by incorporating regional analyses and additional climate indicators. This will provide a more comprehe…☆45Updated last week
- ☆44Updated last month
- ☆44Updated 3 weeks ago
- This project detects water bodies from satellite imagery using remote sensing techniques and image classification algorithms, such as NDW…☆45Updated 2 weeks ago
- This project provides a simple yet powerful Streamlit dashboard to estimate software development effort using historical project data and…☆44Updated this week
- This project uses machine learning to predict the risk level (Low, Medium, High) of a project based on its characteristics.☆39Updated this week
- This project is a GIS-based Streamlit application for identifying optimal sites for renewable energy development (solar, wind, hydro) usi…☆45Updated last week
- A lightweight geospatial workflow for detecting shoreline changes using Sentinel-2 imagery, NDWI, and Google Earth Engine (GEE). It quant…☆44Updated this week
- This project provides a complete workflow for mapping, visualizing, and analyzing noise pollution levels in urban areas using geospatial …☆45Updated last week
- ☆44Updated last month
- This project focuses on assessing the health of mangrove ecosystems using satellite-derived vegetation indices, particularly the Normaliz…☆45Updated this week
- ☆44Updated last month
- ☆35Updated last month
- ☆39Updated last month
- This project implements a basic Rainfall-Runoff Modeling framework using the SCS Curve Number (CN) Method to assess flood risk based on d…☆45Updated last week
- ☆45Updated last month
- ☆35Updated last month
- ☆39Updated last month
- ☆45Updated 3 weeks ago
- ☆36Updated last month
- ☆45Updated last month