Explore live open-source projects and AI models.

Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.

The aim of this project to see to do the prediction of the weather using the different types of machine learning model.

Water-Usage-Prediction-and-Optimization uses machine learning to forecast future water consumption based on historical patterns, weather, and user behavior. It helps identify inefficiencies, optimize distribution, and support sustainable resource management.

Context Rainfall is very crucial things for any types of agricultural task. Climate related data is important to analyse agricultural and crop seeding related field, where those data can be used to show the predict the rainfall in different season also for different types of crops. Developed appl... Read more

Crop Yield Prediction with Remote Sensing uses satellite-derived indicators and machine learning to estimate agricultural productivity. By analyzing vegetation indices, weather patterns, and soil features, the system provides scalable, data-driven yield forecasts that support precision farming.

An end-to-end Machine Learning project that predicts temperature using historical weather data and integrates live OpenWeather API data in an interactive Streamlit app. Includes city-based weather prediction and similarity-based city recommendation powered by RandomForest.

A machine-learning weather prediction system that forecasts temperature, humidity, and rain using trained Random Forest models.

The designed hybrid neural network model identifies optimal combinations of soil parameters and blends it with the rainfall pattern in a selected region to evolve the expectable crop yield. The backbone for the predictive analysis model with respect to the rainfall is based on the Time-Series app... Read more

Blockchain and AI are on just about every chief information officers watchlist of game-changing technologies that stand to reshape industries. Both technologies come with immense benefits, but both also bring their own challenges for adoption. It is also fair to say that the hype surrounding thes... Read more

Climate change is a controversial topic of debate, where many of us do not believe in anthropogenic climate change. Because its consequences are predicted to be dire, such as mass ocean extinction and frequent extreme weather events, it is important to learn what causes the warming in order to be... Read more