Using modanet fashion dataset, the clothes images were classified under 5 season (summer,winter,spring,autumn,all).

Combine Python with machine learning principles to discover hidden patterns in raw data

Puthon 3 with already compiled OpenCV, SimpleCV, TensorFlow, Kera, Scikit-image & learn and many more libraries

Implementation of the model "sketch-RNN" by google for generating sketches with a variational auto encoder

Using CNN to recognize indoor scenes. Dataset: MIT Indoor 67

Fruitify is a charming fruit recognition project that harnesses the power of TensorFlow, an advanced machine learning framework.

Image classification with Keras and Tensorflow

Train a model from a dataset for predicting cat and dog from image.

Developed a working prototype of a University Security Monitoring System using Deep Learning to assist Reva University in maintaining a database of known and unknown persons entering through the entrance gate by detecting the frontal faces of students.

The project is a neural network-based fashion recommendation system built using Python. The model used for this system is Resnet50, which is a deep learning model used for image recognition. The data used for training the model is scraped from Flipkart, with a total of 65,000 images.