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15it304j-web-programming

aaruush-mlchallenge-1

This is the python notebook for the image classification machine learning challenge organised by Aaruush 2020.

adityarc19

adityarc19.github.io

anz_virtual_internship

Virtual internship project

aqi-india

This is a project that takes a time series AQI India dataset from Kaggle and performs EDA on it. Additionally, predictive classification is done to classify AQI levels based on the pollutant metrics.

book-genre-image-classifier

This is a book genre classifier which takes in images of book covers and classifies them accordingly into a suitable genre.

booksmanagingportal

covid-19-data

Data on COVID-19 (coronavirus) confirmed cases, deaths, and tests • All countries • Updated daily by Our World in Data

covid19-with-r

This is a project which takes in the John Hopkins covid-19 data and performs analysis on it as well as predicts the spread of the virus from Dec 2020 to Jan 2021.

cshcs.api-data

fastai-v3

Starter app for fastai v3 model deployment on Render

fin-budget-prediction

guessing-number-game

ipl-analysis

This is a repo maintained for the web app that web-scrapes IPL cricket player rankings through all seasons and also provides some interactive EDA functionalities.

ipl-player-value-prediction

This repo is maintained for a web app that lets you predict 'value' of an IPL player based on some player statistics.

kpmg-virtual-internship

neural-nets-from-scratch-using-pytorch

This is a project where I classify images of everyday objects using a neural network built from scratch. I have used the Cifar10 dataset and PyTorch as the framework for coding this.

plantdoc-dataset

portfolio

semantic-image-segmentation-on-camvid-dataset

This is a project on semantic image segmentation using CamVid dataset, implemented through the FastAI framework.

taxi-detector-with-yolov4

This is a taxi detector project that identifies taxis in a given image. I've used YOLOv4 object detection system with Darknet.

think42labs-hackathon-project

This is a solution that I created for the Think42labs hackathon called 'Thinkathon' in 2019. It is a shortest path algorithm solution. Here, the concept of priority queues and A* algorithm are used.

traffic-vehicles-instance-segmentation

This is a real time instance segmentation task implemented with YOLACT++ and DCNv2 on Google Colab.