Kavya's repositories
TWSIP_LANDINGPAGE_1
i have created a basic landing page
CodeAlpha_OnlineBankingSystem
🏦 Java Online Banking System Simulate an online banking system in Java. Accounts, transactions, and balances managed with a basic in-memory database. Features include deposits, withdrawals, transfers, and transaction history. Extendable for more advanced functionalities. #Java #BankingSystem #Programming 🖥️💳
CodeAlpha_OnlineQuiz
🚀 Java Quiz Game Test your Java knowledge with this console-based quiz game! Answer three questions on Java programming and general knowledge. User-friendly input and immediate feedback. Clone, run QuizGame.java, and challenge yourself! #Java #QuizGame #ProgrammingChallenge 🖥️🤔
CodeAlpha_STUDENT_TRACKER
Student Grade Tracker Java program for teachers to input and analyze student grades. Calculates average, highest, and lowest scores. User-friendly and versatile.
CODEWAY-MOVIE-GENRE-CLASSIFICATION
"Movie Genre Classification" automates film categorization using algorithms like natural language processing & image recognition. It assigns genres like action, comedy, drama, horror, etc., enhancing recommendation systems & user experience in streaming platforms 🎬🤖🔍📽️.
CODEWAY_Bank-Customer-Churn-Prediction
Bank Customer Churn Prediction aims to forecast whether customers will leave a bank. Leveraging machine learning, it analyzes customer data to identify patterns indicative of churn, empowering banks to proactively address customer needs. 🏦📉🔄💼🔮
CODEWAY_CREDIT-CARD-FRAUD-DETECTION
Credit card fraud detection 🛡️ is vital for financial security. Using algorithms 🤖, real-time monitoring, and data analytics 📊, it detects suspicious transactions and protects cardholders 💳. Collaboration among institutions enhances detection capabilities.
Diabetes-using-Random-forest
This project aims to develop a machine learning model for predicting diabetes using the Random Forest classification algorithm. The model will be trained on a dataset
SUPERVISED_LEARNING_ML_PERCENTAGE_STUDENT
GitHub Project Description: 📊 Supervised Learning for Student Percentage Prediction This project utilizes logistic regression in a supervised learning setting to predict students' percentages based on relevant features. By employing machine learning techniques, we aim to provide a robust and accurate model for educational
Product_Recommendation_Syste-
In the dynamic landscape of online shopping, a well-designed product recommendation system can significantly influence user satisfaction and increase sales. This project aims to implement a personalized recommendation engine that analyzes user behavior and preferences to suggest relevant products, ultimately driving customer engagement and revenue.
ToDoListApp
My To-Do List: Simplify Your Life, One Task at a Time!