Yash Pareek






My Project Portfolio

The Creative Key
Second Brain Bot
A shift from traditional Algorithms to newer RNNs. This project makes use of LSTMs for better processing.

Github
Python, Jupyter, Tensorflow, Word2Vec, Pandas, NumPy
Princeton
Text Summarisation Web App
This System is intended to generate faces by learning from other faces(quite simple definition:). The descriminator and generator models are in place to generate image and discard outlier images.

Github
Python, Jupyter, Tensorflow, Pandas, NumPy
HPCS HR Panel
Multi Entity Extraction
A small pre-DCGAN project to generate numbers using the popular MNIST dataset.

Github | Demo
Python, Pandas, NumPy




The Creative Key
Sentiment Analysis using LSTM
A shift from traditional Algorithms to newer RNNs. This project makes use of LSTMs for better processing.

Github
Python, Jupyter, Tensorflow, Word2Vec, Pandas, NumPy
Princeton
Face Generation with DCGAN
This System is intended to generate faces by learning from other faces(quite simple definition:). The descriminator and generator models are in place to generate image and discard outlier images.

Github
Python, Jupyter, Tensorflow, Pandas, NumPy
HPCS HR Panel
Generating MNIST Images
A small pre-DCGAN project to generate numbers using the popular MNIST dataset.

Github | Demo
Python, Pandas, NumPy




Air Pollution EDA Project
Air Pollution Levels - Exploratory Data Analysis
A research project which attempts to explore the various levels of air pollution across the years 2017-2021 India. Complete with hypothesis and inferences.

Github
Python, Jupyter Notebooks, Pandas, Numpy, MatPlotLib
Firebase Integrated Restaurant
Optical Character Recognition
This OCR system is used to recognize numbers/digits making use of the popular MNIST dataset.

Github | Demo
Tensorflow, Numpy, Python
Computer Vision Project
Image Recognition - Computer Vision Web App
This elegant-looking website has the power to interpret complex objects that are present in the image. The engine provides a subtle description of the content present in the image with the confidence levels.

Github   |   Demo
Microsoft API, HTML5, CSS3, BootStrap3, Javascript

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