Akanksha Joshi's Projects
Config files for my GitHub profile.
Collection of basic assembly programming codes using EMU-8086 emulator.
A random forest classifier asteroid hazard prediction model with an accuracy of 94.8%.
GitHub repository contains solutions to some popular problem statements along with C++ basics.
Demo dashboard demonstrating the use of RTK Query for caching and returning API responses.
Dog breed classifier using different architectures (resnet, vgg, and alexnet) to correctly identify whether the image is of a dog and its breed.
EaseCRM is a customer relationship management sysetm built with Django, TailwindCSS, and SQLite.
EcoSavvy is a sustainable development based information and product website which promotes renewable energy sources, such as solar, wind, and hydroelectric power.
Assignment task for mentorsity.
A radial basis support vector classifier based model that analyses reviews and classifies them according to the user sentiment with a precision metric of 83.2%.
GitHub repository containing all solutions to the one-month-interview-preparation kit offered by HackerRank (coded in python).
A simple machine learning model which predicts the prices of houses in King County, USA with an R2 Metric of 0.81.
MNIST based demo for autoencoder used in denoising images.
Jupyter notebook file containing different methods of initialization of parameters for a multi-layer neural network.
Analysis of win rate of each team participating in IPL over the years 2005-2018.
IRIS flower dataset classification that classifies the data into any one of the four possible classes based on the value of other attributes.
Convert an image to sketch using OpenCV and Python. Enter the complete location of the image and generate a sketch from the same.
Using the MNIST dataset provided within torchvision.datasets.MNIST, develop a neural network that can predict handwriting.
A core code for creating a neural network model based on logistic regression activation function.
Collection of mini projects built using Express, Node, and MongoDB.
Notes application with mock email user authentication using breeze & sqllite as the backend database using vite for serving static files to the laravel app.
Online course app allows you to register for courses using the Django Admin Dashboard.
Online payment fraud detection is a logistic regression based prediction model that predicts whether the given transaction is fraud or not with an accuracy of 91.0%.
Pizza delivery API using Django REST framework.
Bike sharing demand using AutoGluon Tabular which accurately predicts the amount of bikes rented using time-series forecasting.
Punk API cards - Fetched data from API to create a website where users can login without signup (Fake authentication using Context API) and search for any specific beer.