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Abhinav tembulkar's Projects

certifications icon certifications

This repository has the links of all the certifications I have earned

face-detection-using-open-cv icon face-detection-using-open-cv

This is a simple demonstration of face detection using the OpenCV library in python (in a few lines of code). Face detection using Haar cascades is a machine learning based approach where a cascade function is trained with a set of input data. OpenCV already contains many pre-trained classifiers for face, eyes, smiles, etc.. We will be using the face classifier.

facemaskdetector icon facemaskdetector

A ML model for combating corona virus by detecting face masks on peoples faces

flight-price-prediction-with-deployment icon flight-price-prediction-with-deployment

I have built a simple web app that predicts the price of flights based on inputs such as Departure date and time, Source and destination, etc. The model is trained on "Random Forest Regressor" and deployed using "Streamlit" on Heroku. The accuracy of the model was found out to be 95% on the train data and about 80% on the test data.

image-classification-using-cnn-in-pytorch icon image-classification-using-cnn-in-pytorch

The aim of this project is to predict the label of the object given the image data using Convolutional Neural Networks(CNN) in Pytorch. The dataset used is CIFAR-10 dataset which is a subset of the 80 million tiny images dataset and consists of 60,000 32x32 color images containing one of 10 object classes, with 6000 images per class.

liveflightstatus icon liveflightstatus

A flight status tracker app, plots live status on map every 20 seconds. Built using AJAX, JS and HTML/CSS. Data fetched from Lufthansa and aviation stack APIs.Maps plotted using amcharts and bootstrap.

pytorchtutorials icon pytorchtutorials

PyTorch Tutorial materials for Duke University +Data Science Initiative

soundbars icon soundbars

amplitude reactive sound bars based on p5.js library

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