SAI SRIRAM KAMINENI 's repositories
HangManGame-Python
This Python script features a classic Hangman game. Players attempt to guess a word by inputting letters. The game randomly selects a word from a list and displays it as underscores. Correct guesses reveal letters; incorrect guesses reduce chances. Can you solve the word before running out of attempts?
Typing-Speed-Test-Application-Python-GUI
Welcome to the Typing Speed Test Application! This project allows users to test and improve their typing speed and accuracy with a fun and engaging interface. Whether you're a coding novice or a seasoned developer, this tool is perfect for practicing typing skills, especially with prompts related to various technical languages.
ALGORITHM-VISUALIZER
This project is a dynamic web tool that helps users understand and visualize various searching and sorting algorithms. It uses HTML, CSS, and JavaScript to provide an interactive and engaging way to learn about these fundamental algorithms. The visualizer allows users to select a sorting algorithm and observe its step-by-step execution.
Banking-management-system
The Banking System is a C++ application for managing accounts with features for account creation, deposits, withdrawals, and balance inquiries. It supports Administrators for viewing account stats and Regular Users for managing their accounts and transactions.
Blogify-MERN
Welcome to Blogify, a user-friendly blogging platform built on the MERN stack. Enjoy reading and searching for blogs without signing in. To create, edit, like, comment on, or delete posts, sign in to access these features. Explore the power of MongoDB, Express.js, React.js, and Node.js!
HEY-BOT-Voice-Assistant
HEYBOT is a Python-based desktop voice assistant that performs tasks like telling the time and date, searching Wikipedia, opening websites, playing music, and taking screenshots through voice commands. It's easy to set up, supports various commands, and enhances user productivity
Library-Management-System
The Library Management System is a versatile C++ application that allows admins to efficiently manage book inventories and members to seamlessly borrow and return books. It features user-specific functionalities, a text-based menu interface, and supports the registration of new users, enhancing the overall efficiency of library operations.
N-Queen-Visualizer
A tool called an N-Queens Visualizer is made to show the solutions to the N-Queens issue, which is to arrange N queens on a N×N chessboard so that no two queens may attack one another. The chessboard is usually displayed by the visualizer in an easy-to-read grid format, enabling viewers to see the positions of each queen. A few visualisers
QRCode-Generator-Python
This Python script facilitates the generation of a custom-designed QR code by utilizing the 'qrcode' library in conjunction with Pillow (PIL), a popular imaging library. By integrating these libraries, the script enables the encoding of a specified URL into a QR code and enhances its visual appeal through the customization of its color scheme.
ScientificCalculator-GUI
This project is a Scientific Calculator using Python's Tkinter. It offers a user-friendly interface for basic and advanced math operations. Tkinter enhance its visual appeal, making it a fun tool for learning GUI development in Python.
Sorting-Visualizer
This project visualizes various sorting algorithms with interactive controls for an engaging learning experience.
Chocolate-Sales-Analysis-Power-BI-
Designed a comprehensive sales dashboard for chocolate products using Power BI. Analyzed regional sales performance, product demand, and seasonal trends, providing actionable insights for business strategy and inventory management.
crop-prediction-using-machine-learning
The model was trained with the Random Forest algorithm in Weka to predict crop outcomes based on input features.
E-Commerce-Sales-Analysis-Excel-
Conducted an in-depth sales analysis for an e-commerce platform, leveraging Excel for data preprocessing and Power BI for visualization. Identified key sales trends, customer purchasing behavior, and revenue growth patterns to optimize business performance.
Home-Loan-Predictor-
Home Loan Approval Prediction System uses machine learning to predict loan approval outcomes, helping financial institutions streamline decisions. It preprocesses data, handles missing values, encodes features, and uses a Random Forest Classifier for feature selection, optimizing the model for accuracy and efficiency.
Mall-Customer-Segmentation-Using-K-Means
This project uses K-Means Clustering to segment customers based on age, income, and spending score. It helps businesses identify customer behavior patterns, optimize marketing strategies, and maximize profits. By analyzing clusters, businesses can target specific groups and improve services for better engagement and satisfaction. 🚀