Please contact me if you have a computer and wish to collaborate with me to generate income. Only serious inquiries are welcome. You can find information about me through my profile or a Google search. Contact: Telegram ID: @moonrunner0627 WhatsApp Number: +1 715 606 9457

Just a few years ago, blockchain technology sparked tremendous excitement. Many people believed that cryptocurrencies, NFTs, smart contracts, and decentralized finance would completely transform the internet. Related conferences were held with great success, investments were active, and the future looked very bright. However, the current situation is different. Blockchain is now showing a distinct downtrend. Growth has slowed significantly, and many projects are struggling or have lost momentum. Its utility in daily life remains limited, and the initial craze has cooled. While blockchain still provides value in fields such as secure record keeping and digital asset management, its rapid growth appears to have stalled for now. On the other hand, AI is developing at a very rapid pace. New improvements are being announced almost every month. AI systems can now write code, create artwork, answer difficult questions, understand images and videos, and help solve real-world problems across various industries. This technology is becoming smarter, cheaper, and more powerful very quickly. The pace of development is exponential; it feels more like exponential growth than steady growth. From a third-party perspective, the difference is stark. While blockchain introduced important concepts of decentralization and trust, its momentum has somewhat weakened. On the other hand, Artificial Intelligence (AI) is producing rapid and tangible results, revolutionizing the way people work, create, and solve problems. The speed and breadth of AI development are currently highlighting AI as a more dynamic field.

Hello everyone. Last week, I developed an AI model to predict greyhound race results. It was a model that analyzed and learned from the results of the past year's races to predict the favorites for the next race and calculate the profit/loss ratio based on the odds. Developed based on AutoGen, the model accurately predicted the favorites with an 87% probability, which is a notable achievement in the betting industry. Are there any of you working on similar projects or have ideas? I am currently researching how to increase the probability of recommending favorites in Modec to over 93%. If you are interested, please contact me.

Hello everyone. I am a Senior Full-Stack AI Engineer with 10 years of experience based in Singapore. I have experience working on various projects with diverse clients from various countries, and I can independently handle every step of the process, from high-level architecture design to MVP development and product launch. If you need a developer for an ongoing project or for a creative project idea, please contact me.