Madala Sai Manvitha

It is a mobile app that grades fruits based on freshness, appearance, and ripeness and provides quality fruits to the public using Convolutional Neural Networks (CNN).

This study aims to predict India's harmful CO2 emissions for the next 20 years using statistical and deep learning models based on univariate time series data. The research utilized an AutoRegressive Integrated Moving Average (ARIMA) model and four deep learning models, including Recurrent Neural Network (RNN), Artificial Neural Network (ANN), BiLSTM-DNN, and ResNet models.

CO2 emissions are monitored based on vehicle class, fuel type, engine size and fuel consumption. Based on the historical data we are going to predict the future emissions. Predicting the CO2 emissions in automobiles creates awareness among users and helps in carbon reduction strategies.