Jatin Ahuja

Implementation of face verification and face recognition system. Most of the work i did in this notebook was inspired by FaceNet paper(https://arxiv.org/abs/1503.03832) . It was also an assignment of deep learning specialization in coursera.

This repository contains an ipython notebook which implements an Artificial Neural Network using keras to do churn prediction .

This repository contains an ipython notebook which implements a Convolutional Neural Network to do a binary image classification. I used this to classify Cats vs Dogs and you can get the dataset from here https://www.kaggle.com/c/dogs-vs-cats/data . (This model trains with thousands of input images so be patient.)

Schema-enforced LLM extraction of freight rate confirmations, with per-field confidence and human-review routing

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