codealpha

This repo is created for CodeAlpha Internship Assignment Task Submit! This repository showcases projects and code snippets developed during my internship in Python programming at CodeAlpha

A centralized repository containing all the tasks and projects completed during my Python Programming internship at CodeAlpha.

Join our dynamic team at CodeAlpha as a Web Intern and dive into the exciting world of web development. In this internship, you'll have the opportunity to work on real projects, enhance your coding skills

Modern Sleek Calculator This project is a premium web-based calculator that combines elegant design with robust functionality. It features a stunning glass morphism interface (using CSS Backdrop Filters), smooth animations, and a focus on user experience.

🎓 Student Grade Tracker — Java Swing GUI app to manage student grades, calculate averages, and generate performance reports. Built for CodeAlpha Java Internship Task.

Code Alpha Internship | First Task | A GPA calculator that uses FAST University's grading scale to calculate GPA and CGPA

A simple language translation app built with Python and Streamlit for my CodeAlpha AI internship.

@codealpha Simple Voice Assistant Program using Python

Netflix Exploratory Data Analysis using Python, Pandas and Matplotlib.

Machine Learning project for Iris Flower Classification using Random Forest | CodeAlpha Data Science Internship

A stock portfolio tracker built in Python with profit/loss calculation and custom stock support - CodeAlpha Internship Task 2

💳 ML system predicting customer creditworthiness (Good/Bad Credit) using Logistic Regression, Random Forest, Gradient Boosting & XGBoost, with a Streamlit risk-scoring app. Built for the CodeAlpha ML Internship.

Simple Todo List Website

This is one of my Code Alpha task.

Console-based rule-based chatbot built with Python for the CodeAlpha Python Programming Internship.

Expense tracker website made on HTML, CSS, and JavaScript. This was my intership task at CodeAlpha

Exploratory Data Analysis (EDA) on the Titanic Dataset using Python, Pandas, Seaborn, and Matplotlib. Analyzes passenger survival patterns, missing values, and key insights through data visualization.

🎙️A deep learning project that recognizes human emotions from speech audio using MFCC features and a CNN + LSTM architecture built with PyTorch. The project includes data preprocessing, model training, evaluation, and an interactive Streamlit application for real-time emotion prediction. Developed as part of the CodeAlpha Machine Learning Internsh

A modern and responsive Image Gallery Web Application built using HTML, CSS, and JavaScript with features like dark mode, search, filters, lightbox, image upload, slideshow, fullscreen, and responsive design.