My Tiny Little Projects
Every project tells a story, and I'm excited to share mine with you. From data science to machine learning and beyond, each project reflects my passion for creating impactful solutions. So, let's dive in and explore the stories behind my work.
Handwritten Digit Recognition
This application utilizes a deep learning model that has been trained to recognize handwritten numbers. Simply draw a number (0-9) on the canvas provided below and click the "Submit" button to see the model"s prediction. The model is constructed with a neural network architecture of medium-level complexity, which ensures its accuracy in recognizing handwritten digits.
Handwritten Digit Recognition
190,000 Movie Recommender (1998-2023)
a Mood-based Movie Recommendation App designed to provide you with personalized movie recommendations based on your current mood and preferred movie genre. Simply input your mood and preferred movie genre, and the app will provide you with a list of movies that match your preferences. With a database of over 190,000 movies spanning over two decades, you are sure to find a movie that perfectly fits your mood and genre preferences. So, sit back, relax, and let the 190,000 Movie Recommender help you find your next favorite movie!
Movie Recommender
Sentiment Recognition
a powerful application that can identify and classify the emotions behind written text. Simply enter your text into the app, and it will analyze the words and provide you with a sentiment analysis classification, whether it is positive, negative, or neutral. This tool can be useful for businesses to gauge customer sentiment about their products or services, or for individuals who want to understand the emotional tone of a message. With Sentiment Analysis, you can quickly and accurately determine the sentiment behind any text.
Sentiment Recognition