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

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

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

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

@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

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.

Advanced E-Commerce Store built with Django, Bootstrap and SQLite | CodeAlpha Internship Project

💳 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.

This is one of my Code Alpha task.

Simple Todo List Website

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

🤖 A collection of AI-powered applications featuring language translation, intelligent FAQ assistance, AI music generation, and real-time object detection & tracking, built using Python, Machine Learning, NLP, Deep Learning, Computer Vision, YOLO, and Streamlit.

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

Exploratory Data Analysis (EDA) of the Netflix Titles dataset using Python, Pandas, Matplotlib, Seaborn, and WordCloud, featuring data cleaning, visualizations, business insights, and a Matplotlib dashboard.