Dive into the classic game of Ping Pong with our interactive web-based version, designed using HTML, CSS, and JavaScript. This game features a straightforward and intuitive interface where players …

config files for my Github Profile

The Word and Letter Counter is an application that counts the number of words and letters in a given text and displays the counts dynamically as you type.

The Road Crossing Game is a thrilling challenge where you guide a character across a busy road, avoiding moving vehicles to reach the other side safely. Each successful crossing earns points, and …

This project aims to develop a facial expression recognition system using PyTorch. The system classifies facial expressions into various categories using a convolutional neural network (CNN). The d…

This Repository is Created to visualize geographic data

Created for a Small Python Program

Using the dataset from Open Data Telangana and identifying the pollution accuracy in each district

I had Created a Dataset based upon my Previous academic performances using Credits and GPA Of Each Semester

This project focuses on predicting Mastercard's stock prices using three different machine learning models Long Short-Term Memory (LSTM), Support Vector Machines (SVM), K-Nearest Neighbors (KNN).

This project predicts the stock price of HDFC Bank using two models: ARIMA (Auto-Regressive Integrated Moving Average) and XGBoost (Extreme Gradient Boosting). The dataset contains historical stock…

This project performs stock price prediction for HCLtech using three machine learning models: Linear Regression, Support Vector Machines (SVM), and K-Means Clustering. The project includes data pre…

This project demonstrates how to predict stock prices of ONGC using three machine learning models: LSTM, SVM, and K-Nearest Neighbors (KNN). Each model is evaluated based on its performance in pred…

This project performs to predict the Titan stock price using two different machine learning models by Linear Regression and K-Means Clustering

This project performs stock price prediction for Bharti Airtel using four different machine learning models: Long Short-Term Memory (LSTM), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), …

This project involves performing Market Basket Analysis using the Apriori algorithm. Market Basket Analysis is a popular data mining technique used to identify associations or relationships between…

This Project helps us to build a classifier using a simple Convolution Neural Network which can classify normal lung tissues from cancerous. Lung cancer is a type of cancer that starts when abnorma…

This project aims to predict the stock prices of Tata Consultancy Services (TCS) using a combination of Long Short-Term Memory (LSTM) networks, K-Means Clustering, and Logistic Regression. The syst…

This project predicts Cipla's stock price using several machine learning models: LSTM, SVM, SVR, KNN, and K-Means Clustering. The project includes exploratory data analysis (EDA), data preprocessin…

Detected Pneumonia from Chest X-Ray images using Custom Deep Convololutional Neural Network and by retraining pretrained model “InceptionV3” with 5856 images of X-ray (1.15GB)

The Eye Disease Classification project aims to develop a robust model for the automated classification of retinal images into four distinct disease types: Glaucoma, Cataract, Normal, and Diabetic R…

This repository contains the implementation of a language model designed for sentence auto-completion using the N-gram model. The project includes various preprocessing techniques such as tokenizat…

This project uses advanced machine learning algorithms and the Keras API to analyze data from Shakespeare.txt, generating original poems. Through meticulous model selection and analysis, it offers …

This project aims to predict fetal health status using various machine learning models. The dataset contains records of fetal health measurements, and the goal is to classify the health status into…

This model is trained on a dataset that contains information on domestic violence against women in a specific rural area of a developing country. The data is collected to help understand the correl…

The Gesture Control System uses a webcam to detect the distance between the thumb and index finger for controlling computer volume. It leverages OpenCV for video capture, MediaPipe for hand detecti…

This project aims to predict crude oil prices using historical data and machine learning techniques. It involves data collection, preprocessing, model training, and evaluation to forecast future pr…