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 Python-based console Hangman game featuring random word selection, input validation, and interactive gameplay.

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

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

LANGUAGE TRANSLATION TOOL PROJECT

@codealpha Simple Voice Assistant Program using Python

A menu-driven Mini Banking System in C using structures, functions, and file handling to manage basic banking operations.

Netflix Exploratory Data Analysis using Python, Pandas and Matplotlib.

Deep learning speech emotion recognition using CNN-BiLSTM and RAVDESS dataset.

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

This is one of my Code Alpha task.

Simple Todo List Website

Language Translation Tool developed for the CodeAlpha Artificial Intelligence Internship using Python, Streamlit, and Google Translator API. The application provides fast and accurate text translation between multiple languages.

CodeAlpha Python Programming Internship

CodeAlpha Internship In C++ Domain

A menu-driven Student Management System in C using structures, functions, and file handling for managing student records.

A professional text-based Hangman Game built with Python featuring random word selection, input validation, and an interactive terminal interface.

Advanced AI-Powered FAQ Assistant leveraging NLP, TF-IDF retrieval, Generative AI, voice-to-text, and neural speech synthesis to deliver accurate, context-aware, and human-like conversational support.

A rule-based chatbot built with Python that simulates natural conversations using predefined responses, demonstrating functions, conditional logic, loops, and user interaction through a clean command-line interface.