Obtaining meaningful results from the data set using the model trained with machine learning methods.

#AI Tensorflow, Machine Learning and Building a data model to recognize object detection with Keras back-end. This a research work. This library is designed for everyone to learn fast.

Image classification for dogs and cats with VGG-16 using PyTorch. Model accuracy: 99.6%. Classification API included

For MLSA Workshop

Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

A simple PyTorch-based neural network that classifies student exam outcomes (Pass/Fail) using study hours and previous exam scores. Implements dataset splitting (train/val/test), mini-batch training, and evaluation with configurable hyperparameters.

CineMint is a machine learning-powered tool that predicts the worldwide box office revenue of Telugu movies before release.

Two-stream cnn models for action recognition on the UCF-101 dataset

Uilizing Tensorflow and openCV frameworks, we have created a Face Mask Detection Software Script.

This uses machine learning to recognize faces to mark attendance.

Classify UCF101 videos using one frame at a time with a CNN(InceptionV3)

Social Emotion Analysis | SEA