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Hello there! 👋

  • 🔭 I’m currently working on AWS and some fun ML & NLP use-cases like Q&A, text classification, and natural language search
  • 💬 Ask me about Machine Learning, NLP, and Neural Networks
  • 🌱 I’m currently learning AWS
  • 😄 Pronouns: He/Him/His
  • ⚡ Fun fact: Accio facts! 😉

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Ankush Jain's Projects

dining-concierge icon dining-concierge

A Dining Concierge chatbot built on Amazon Web Services (AWS). It sends restaurant suggestions for given a set of preferences via SMS.

fairprep icon fairprep

FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.

fastapi-react-mongodb icon fastapi-react-mongodb

A minimal FARM stack boilerplate / template project to get you started with a Python FastAPI backend, React frontend, MongoDB, and JWT user authentication (via FastAPIUsers).

image-captioning-with-autoencoders icon image-captioning-with-autoencoders

A low-resource unsupervised image captioning solution by using autoencoder for image feature extraction and NLP for determining the best caption from the pre captioned similar images

lime-explainable-binary-classification icon lime-explainable-binary-classification

An explainable and interpretable binary classification project to clean data, vectorize data, K-Fold cross validate and apply classification models. The model is made explainable by using LIME Explainers.

link-repository icon link-repository

An application to store bookmarks, share them on social media platforms and gather a brief description of the webpage by web crawling. Developed using Laravel web application framework for PHP and Bootstrap 3.2.0.

multi-hop-question-answering icon multi-hop-question-answering

Implemented a question and answering model for multi-hop questions that requires logical inference or aggregation of information from various parts of the information text (like referring multiple wikis to answer a question)

nyc-open-data-profiling icon nyc-open-data-profiling

A generic and semantic profiling of 1159 New York City open datasets using Apache Spark. The generic profiling has been performed using the Spark RDDs and Dataframes. Semantic profiling has been performed using Named Entity Recognition, Soundex, Regex, Ontologies and Clustering.

securodrive icon securodrive

Securodrive is a driving assistant platform built on Amazon Web Services (AWS). It is built to avoid road accidents due to sleepy drivers. This app assists the drivers by applying AI techniques to the live video stream of the driver and generating alerts when the driver appears to be yawning excessively or going in a drowsy state.

smart-door-authenticator icon smart-door-authenticator

A Smart Door Authentication system built on Amazon Web Services (AWS). It performs face recognition on a live streaming video of the doorway and issues an alert to the house owner (via SMS and Email) when a new or old visitor arrives.

traffic-congestion-eda icon traffic-congestion-eda

The exploratory data analysis for the road traffic data-sets used in the Traffic Congestion project.

traffic-congestion-management icon traffic-congestion-management

Built a time-series forecasting model for predicting the traffic congestion condition at the road intersections with ARIMA model

voice-enabled-photo-search icon voice-enabled-photo-search

A Photo Search Gallery that utilizes AI for speech-to-text transcription and object detection for tagging objects within the images.

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