Nancy Pareta (nancypareta)

nancypareta

Geek Repo

Company:Punjab Engineering College

Location:CHANDIGARH

Twitter:@heyiamnancy

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Nancy Pareta's repositories

Stress-detection-Techniques-and-Chat-Bot-Depression-Therapy

The Real time emotion recognition model will return the emotion predicted in real time. The model classifies face as stressed and not stressed. A model is trained on the fer2013 dataset (https://www.kaggle.com/deadskull7/fer2013) .The stress level is calculated with the help of eyebrows contraction and displacement from the mean position. The distance between the left and right eyebrow is being calculated and then the stress level is calculated using exponential function and normalized between 1 to 100. Chatbot-Depression Therapy to provide real time therapeutic solutions to alleviate depression. Chatbot System is implemented using deep learning for detection and management of stress and depression and provide suggestions accordingly based on user’s mental condition. Technologies: Keras, genism python libraries, anaconda environment, the dataset being used is obtained from Kaggle.

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Exploring-the-Bitcoin-Cryptocurrency-Market

To better understand the growth and impact of Bitcoin and other cryptocurrencies and explore the market capitalization of different cryptocurrencies.

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awesome-github-profile-readme-templates

This repository contains best profile readme's for your reference.

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CFG

CFG

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CSV_2_JSON_string

Convert CSV file to JSON string with single tap

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DataCamp-Project-Real-time-Insights-from-Social-Media-Data

In this Project, you will use pre-downloaded datasets to understand the nuts and bolts of Twitter Data.

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datasets

A collection of datasets of ML problem solving

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Dice-Roll-Game

Creating a dice roll simulation Using Python and tkinter

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Excel2MySQL-Importer

This is a python application which extracts data from excel sheets and persists them in MySQL database. Can be used in situation when you need to persist large amount of data from several excel sheets into database within minutes.

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Face-mask-detector

A face mask detection dataset consists of “with mask” and “without mask” images. I have used the dataset to build a face mask detector with computer vision and deep learning using Python, OpenCV, and TensorFlow/Keras. The dataset we’ll be using was created by PyImageSearch reader Prajna Bhandary

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nancypareta

A Mtech Scholar of PEC

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Sentibot

A sentiment analysis tool for the English and Farsi languages.

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xlsx-to-json

Using Python, convert an Excel document to JSON

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