A clean, minimalistic weather app.
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
AgriAI aims to revolutionize the agriculture industry by offering AI-powered tools and solutions that help farmers make informed decisions, optimize crop yields, and manage resources efficiently. The project includes various modules for data analysis, prediction, and visualization.
Weather Forecasting Live website , with proper functions and additional deatils about weather , with effective backgrounds for displays and yeah API integrated.
Weather forecasting site, it shows the current temperature in all locations according to the user input & it is an A SlahMark Internship Level-Basic Wed Development
The "Australian Rain Predictor" uses machine learning to forecast rainfall in Australia. It features data preprocessing, model training, and evaluation scripts, providing accurate predictions based on historical weather data. Ideal for weather forecasting and data science enthusiasts.
A clean and responsive weather application that fetches real-time weather data using a public API.
Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. ML for Weather Forecasting Models leverages historical and environmental data to generate accurate weather predictions, aiding planning, disaster management, and informed decision-making.
[ALINK] A simple weather app
This project utilizes machine learning algorithms to predict rainfall patterns based on historical climate data. Rainfall Prediction System Using Machine Learning With Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
crop management system features includes real time weather forecasting , AIML based croprecommendations, Machine Learning trained model for crop disease detection , Real time market insights for decision making, Language preference for wide rich and avaliability , Yield-prediction based on Analysis
A collection of papers tracing weather forecasting evolution: from the 1900s Richardson's numerical methods to Lorenz chaos to Graph ML models to modern NeuralGCM hybrid physics ML systems.
This repository contains a Jupyter Notebook performing Time-Series Analysis project focused on weather forecasting,
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