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

🎓 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

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

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

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.

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.

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.