Project 1: California House Price Estimator

Created a tool that estimates data California House Price (MAE ~ $ 500K) to help the people easily get the house in their required region and price range. It help’s the viewers to easily find home in California with 10x faster Created as a Proof of Concept(POC) and aim to increase the best serach of home in California by 10x faster. Deployed this POC for Internship(at Ineuro.ai) (as Freasher) Built a client facing API using flask

April 9, 2023

Project 2: Deep CNN Classifier

Created a tool that easily classify the cat and dog images The aim of this project is to build a machine learning model that can accurately classify images of dogs and cats. The model is trained on a dataset of labeled images of dogs and cats, with transfer learning on VGG16 imagenet dataset. and will be able to predict the correct label for new images. It help’s the viewers to easily classifiy Cat and Dog with 90% accuracy Deployed this Project for Internship(at Ineuro.

April 9, 2023

Project 3: Wafer Fault Detection

The main aim of this project is to build a classification methodology to predict the quality of wafer ( faulty or good) sensors based on the given training data. Client will send the data in multiple set of files in batches at a given location. Data will contain Wafer names and 590 columns of different sensor values for each wafer. Apart from prediction files, we also require a “schema” file from client which contains all the relevant information about the training files such as: Name of the files, Length of Date value in FileName, Length of Time value in FileName, Number of Columns, Name of the Columns and their datatype.