Our projects include:

  1. Flood Prediction Model: Developed a regression model using flood data to predict the probability of flood occurrence in

    flood prone areas.

  2. Crop Yield Prediction Model: Built an ML model to predict crop yield based on key agricultural and environmental factors.

  3. Student Prediction Model: Developed a predictive model using historical student data to forecast advancement to intermediate

    classes, reduced administrative workload.

  4. Weather prediction: Predicts the temperature(°C) at any given time using other weather-related variables such as humidity, wind speed, pressure, and time features.

  5. Heart disease prediction: Built a machine learning model that will predict the risk of early heart disease from patient medical data.

  6. Carbon footprint calculator: Calculates individual carbon footprints.