• - Undo Functionality: This feature would allow you to revisit your previous moves, providing an invaluable learning opportunity. Whether you're second-guessing a fold or reconsidering a bet, the undo functionality would offer a chance to see how different decisions could impact the game, offering a unique layer of strategic depth and introspection.
• - Customizable AI Opponents: This enhancement would let you tailor the virtual competition to your preference, creating scenarios with varying degrees of difficulty and strategic styles. Whether you wish to face a table of aggressive bettors or test your patience against defensive players, this feature would enable a personalized poker experience, enriching your tactical understanding and adaptability.
• - Interactive Gameplay Dialogue: Envision engaging in psychological tactics not just through your bets and folds, but through dialogue with AI opponents. This feature would introduce an element of communication, where you could bluff, taunt, or express surprise, influencing the AI players' reactions and decisions. It would add a new dimension to the game, mirroring the human elements of poker strategy and interaction.
• - Advanced Analytics Dashboard: By leveraging my Pied Poker poker probability calculator, I could easily create a robust analytics dashboard for your current situation. By leveraging Pied Poker's powerful simulation engine, A8 would offer a nuanced understanding of each game scenario. Users could analyze potential outcomes, understand the likelihood of various hands, and evaluate strategic decisions with unprecedented depth. This integration would not only enrich the user's experience by providing detailed insights into the statistical landscape, but also empower players to use real-time data to refine their strategies and decision-making processes.

Meet "Baus Playlist Maker," my brainchild that blends the realms of music and machine learning. Have you ever heard a song and wished you had an entire playlist emanating the same vibe? That’s the premise I started with. By engineering a unique machine learning model, this app takes in a single "seed" song and, like a musical alchemist, curates a playlist echoing its essence.

The challenges? Navigating the curse of dimensionality (with data spanning across 13 dimensions) and optimizing the runtime. But with a blend of innovation and tenacity, I was able to leap over these hurdles, taking the efficiency from Θ(n) to a slick Θ(log(n)). This allows users to create unique and incredible playlists in a matter of a split-second.

The app, now available on the iOS App Store, seamlessly integrates with Spotify API, ensuring users are just a tap away from their next favorite playlist. With a database enriched with over 800,000 songs, each featuring quantified attributes, "Baus Playlist Maker" isn’t just an app; it's a musical journey tailored for every user.

Step 1: Welcome To Baus

Step 2: Search For Songs

Step 3: Configure Playlist

Step 4: Playlist Created

Step 5: Visualize Playlist

You can view more details about Baus Playlist Maker on the project website.

Navigating the bustling world of sneaker culture, I realized there's an undeniable need: distinguishing the genuine from the counterfeit. The counterfeits had gotten so close to the real-thing, that even experts were often unable to distinguish real from fake. That's when "Authentic8r" was born. It's not just an app; it's a fusion of my sneaker passion with cutting-edge tech. Delving deep into the intricate details of sneaker designs, I built a robust convolutional neural network using Tensorflow to meticulously analyze and predict the authenticity of a sneaker.

Manually gathering and labeling a whopping 12,000 images was not the most fun I've ever had, but it allowed me to train my model and achieve an impressive 85% validation accuracy. This might sound all tech, but the real magic? Giving users an instant verdict on their sneakers' legitimacy right from their phones. With thousands of verified users and a continuous influx of images aiding model refinement, "Authentic8r" stands as a testament to the potential of machine learning in the everyday world.

Since launching the "Authentic8r" app in 2018, I have attainer over 2,000 users and have collected over 20,000 additional self-labeled images from users, enabling me to improve the accuracy of the model further.

Step 1: Welcome To Authentic8r

Step 2: Select Sneaker Model

Step 3: Take Photo of Sneaker

Step 4: Sneakers Confirmed Real or Fake

Authentic8r is available on the iOS App Store.