Atharva Bhide's Projects
Brain Tumor MRI images have been classified into 4 classes by using Transfer Learning Models.
An application for easy maintenance and approval of college budgets.
Source code for the cPGCON (Computer Engineering Post Graduate Conference) website which is held by SPPU
This project uses the "80000 Crime Related Indian Articles of TOI" dataset available on Kaggle and recommends 5 related articles to a user. Content based filtering is used for this project
Web App for visualizing and forecasting prices for some of the most popular crypto currencies. Uses YFinance and CoinMarketCap API.
Source code for the CSI MMCOE Student Club Website
This application takes in a PDF/PNG/JPEG/JPG file and extracts its data to create a csv file. Currently works well for well formatted invoices, with proper segregation of data.
A social media for developers. Enables college students/developers to connect, learn and grow. Leverages AI to prohitbit NSFW content and profane comments to keep the platform clean.
Selenium Web Driver based testing application.
The purpose of this project is to classify handwritten digits in the given classes of 0 to 9.Applied various classification algorithms and got a maximum accuracy of 92.5% by using KNN.
Code resources to prepare for the TensorFlow developer certification
documentation
This repository has all the questions which I have solved while learning DSA from various resources.
Multiclass image classification problem solved by using feature extraction and fine tuning on pretrained models.
K8s setup demo to be used in projects.
This project uses the TMDB dataset to recommend 5 movies to a user based on his current choice. Uses a content based recommendation system.
This project is designed to run on a cluster of processors using the Message Passing Interface (MPI) protocol. The program generates a random array of integers, distributes the array to all the processors in the cluster, sorts the array using some sorting algorithm, and then gathers the sorted array back to the root node.
The purpose of this project is to detect tampering of PAN card by using computer vision. In this project, we will calculate structural similarity of original PAN card and PAN card uploaded by user.
Time series analysis on the monthly sales data of Perrin Freres is done. Model used - SARIMAX (Seasonal Auto Regressive Intergrated Moving Average with Exogenous Factors) Dataset link - https://www.kaggle.com/datasets/anupamshah/perrin-freres-monthly-champagne-sales
This project classifies question pairs as duplicate or non-duplicate by using NLP techniques for text preprocessing and feature extraction and then applying classification algorithms on the extracted features.
A very basic binary classification project.