Integrated Dual Degree (B.Tech and M.Tech) graduate from the Indian Institute of Technology (BHU), Varanasi
A full-fledged Apache Spark version of the Legal Bill Analyzer (LBA) model to manage big data.
Libraries: Spark MLlib, Spark NLP, SkLearn, Pandas, NumPy, Seaborn.
A recommendation system providing top vendor companies using budget, time and lawfirm prediction.
Libraries: Keras, TensorFlow, spaCy, SkLearn, Pandas, NumPy, Seaborn.
A recommendation system providing top vendor companies using budget, time and lawfirm prediction.
Libraries: Keras, TensorFlow, spaCy, SkLearn, Pandas, NumPy, Seaborn.
A multi class image classification hackathon organized by HackerEarth and Garden Nerd.
Libraries: Torch, FastAI, ResNet, DenseNet, Keras, VGG19.
This repository contains Jupyter Notebooks with the code and math behind many popular algorithms.
Libraries: NumPy, MatplotLib.
Language: Python.
A front-end responsive website developed for the Annual Conclave of our department at IIT BHU Varanasi.
Languages: HTML5, CSS3.
A module for the extraction of most relevant/important keywords which are highly BFSI domain specific.
Libraries: NLTK, spaCy, WordNet
Language: Python
A micro-model developed for binary classification of flagged invoices based on bigrams and trigrams.
Libraries: spaCy, WordNet, SkLearn
Language: Python
A micro-model to predict the tasks from descriptions using CRF. Tasks used as target labels for training.
Libraries: NLTK, spaCy, pycrfsuite
Language: Python