WindRider-iOS: A SwiftUI app focused on cyclist comfort by analyzing headwinds on routes, with features for tracking and a lock screen widget for instant wind updates.

Meteorological Data Analysis using Python

Weather Data Analysis Performed using Python Libraries numpy and Pandas and Matplotlib for Visulization

A Naive Bayes implementation predicting golf play based on weather conditions, utilizing machine learning techniques.

A gui application for analyzing weather data and air quality information using python.

Weather Analysis Using Python and GoogleMaps API. Created a dataset of 500+ random cities using OpenWeatherMap API to analyze weather patterns as a function of equatorial distance. Filtered cities based on weather variables and used GoogleMaps API to find ideal vacation spots. Data Analysis, linear regression and visualizations conducted using Python, Pandas, Citipy, Plotly, Gmaps, and Matplotlib.

This repository contains an in-depth analysis of historical weather data from Szeged, Hungary. The project uses Python to clean and process data, generate insightful visualizations, and identify patterns and correlations in weather parameters such as temperature, humidity, and precipitation.

Analysed SEVIR and Storm Datasets and visualized the data using Big Query on Data Studio. Datasets: Sevir Data: The Storm EVent ImagRy (SEVIR) dataset is a collection of temporally and spatially aligned images containing weather events captured by satellite and radar. Visualized using Big Query and Data Studio.

Data-driven analysis of coffee shop sales using correlation, regression, and causal inference. A Jupyter Book project exploring foot traffic, weather patterns, and business analytics.

A weather dataset analysis to solve problems related to weather forecasting and analysis for exploratory analysis.

Weather Analysis and building of a travel app for customers of 500+ cities around the world. Analysis of weather data using APIs and Statistics to create visualizations and recommendations for travel company.

🛩️ Aviation Weather Briefing System - Real-time METAR/TAF analysis with AI-powered flight recommendations. React + Node.js + Python NLP.

polymarket Intelligent Weather Quant Analysis Bot

Telangana ClimateScope is an interactive Power BI dashboard that analyzes 4 years (2021–2024) of weather data across Telangana. It visualizes trends in rainfall, temperature, humidity, and wind speed at the district and mandal levels to support climate-resilient decision-making in agriculture, infrastructure, and disaster management.

Big Data weather analysis using Hadoop MapReduce, Apache Hive, Apache Spark, and Spark MLlib with Docker deployment

A C application for managing temperature measurements using Binary Search Trees and Hash Tables with chaining. Supports file parsing, search, update, and deletion operations by date or average temperature.

NYC Taxi demand forecasting using machine learning and weather analytics. Includes end-to-end pipeline: data preprocessing, feature engineering, XGBoost forecasting, and Power BI dashboards.

Rainfall prediction for Gujarat, India (2011–2024) using weather data from NASA POWER API and machine learning models.

Smart Weather Analytics in Cities of Kazakhstan

Visualizing Weather using API calls in Python

Dashboard App for weather analysis in 500+ world cities using HTML5, CSS3 and Bootstrap4

Flood Cause Analysis with various weather factors

Using Python language. Jupyter notebook 6.4.8 Visual Studio Code with SQLite to prepare weather Analysis

Digest climatic data from Trollhättan using Deep Learning algorithms and techniques

Created a page to provide real-time suggestions for PlanMyTrip's clients' ideal hotels. This project involved weather analysis as well as hotel options for the cities PlanMyTrip's clients say they're interested in. Also provided clients with a map of their destinations and a map displaying a suggested itinerary based on their inputs.

Dual-model predictive engine for agricultural risk. Combines 52-week Price Forecasting (Random Forest/Gradient Boosting) with Weather Pattern Clustering (K-Means) on 11M+ meteorological data points to optimize planting and procurement strategies.

MFT - Iran Weather EDA

Exploratory data analysis and hypothesis testing on Chicago taxi trip data to uncover patterns in demand and the effects of rainy weather on travel time.

Using Pandas and API to analyze and visualize weather data for hotels within cities around the world for a travel company.

Looking at temperature data in the months of June and December in Oahu, to see if a surf and ice cream shop business would be sustainable year round.