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.

Netflix Exploratory Data Analysis using Python, Pandas and Matplotlib.

@codealpha Simple Voice Assistant Program using Python

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

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 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.

🤖 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.

💳 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.