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20_9_eleven

book-on-rails

A full stack train ticket management system made using Java Spring Boot and ThymeLeaf. The database implementation is done through MySQL for Train and ticket management from scratch.

bookling

BookLing is a project made in Dotslash hackathon conducted by PES University. It is a localized app for college students to buy and sell books inside their own campus (in this case PES University). Other features include blogging and mentoring.

campus-compass

The "Campus Compass: Navigating College Life Together" is a purpose-built online platform that aims to enhance the college experience for students within a specific institution.

car-price-prediction

In this project, we implement Linear Regression model and Lasso Regression model and check the best fit for the dataset in Python.

cifar-100-image-classification

This project explores diverse approaches to image classification on the CIFAR-100 dataset. Starting from traditional CNNs combined with KNN classifiers, it progresses to ResNet50 with FCNN and culminates in the cutting-edge Vision Transformer (ViT) model.

college-connect

Campus Connect — a vibrant and exclusive peer to peer online community meticulously crafted for college students within a specific institution

coordinates

Co-ordinates is a user library for Co-ordinate Geometry. It covers basic class 12th operations on a Point, Line, Pair of Straight Lines, Circles and Parabola. It also has support for Quadrilaterals like Rhombus, Square, Rectangle, etc. This library helps in visualizing and solving mathematical problems.

data-structures-and-algorithms

An Open-Source repository that contains all the Data Structures and Algorithms concepts and their implementation in several ways, programming questions and Interview questions. The main aim of this repository is to help students who are learning Data Structures and Algorithms or preparing for an interview.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

digit-recognition-model

I have used Mnist digit classification dataset. The model is trained on 60,000 images of 28*28 using RNN. The model accuracy is 97.39 with a loss of 0.099

dog-vs-cat-classification

Dog vs Cat Classification model trained over MobileNetv2. The model is trained on 2000 images and gives an accuracy of 98.75%

dot-drawing-from-image

This repository takes a image and converts that image to a dotted drawing using Python libraries Pillow, webcolors and Turtle

dsa

DSA Practice with C++ using GeeksforGeeks and Leetcode Questions

encryptionsystem

We have applied Vegineré Cipher and Ceaser Cipher together to create an encryption - decryption system using C language

geekific-youtube

https://www.youtube.com/c/Geekific

git-commands

grade-school-math

grammarcheck

This project entails a website made in Django with MVT architecture. The front-end is built using HTML,CSS, Bootstrap. We have utilized libraries like TextBlob for Spelling Correction and Grammar checking of the website with additional features like user account management, content management system, etcr

graphs

Solution to some of the famous graph questions from geeksforgeeks

hotel-booking-demand-predction

human-stress-prediction

Human Stress Detection in and through Sleep by monitoring physiological data. The KNN model is working with an accuracy of 100% and random forest model is working with an accuracy of 99.35%.

ishreya09

machinelearning

movie-review-system

A full stack movie review system made with Java Spring Boot and React JS using MVC architechture

moview

Moview is a Movie Review System made using MERN stack. It has features of User and Admin Management along with Movie Review System. The database is designed in MongoDB.

os-project

parkinson-prediction-model

We train different models and apply techniques gives us better evaluation metrics, and find out the best model which works the best for Parkinson's Prediction System

phonebook

sas_ml

SAS_ML is a flood detection system using SAR satellites, Sentinel 1 and 2, made in Hashcode 11.0 hackathon. Our model detects if in an area, there is a flood or not, and if it is a flood, we calculate the damage percentage caused so that the concerned authorities can be informed and focus on parts where damage is maximum.