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Zakharii Okseniuk@nobujinn
1
Events attended
1
Submissions made
Slovakia
1 year of experience
About me
Aspiring Data Scientist and second-year Computer Science student specializing in machine learning and intelligent data analysis. Hands-on experience designing and training deep neural networks (MLP, LSTM) for financial forecasting, biomedical prediction, and classification tasks, as well as implementing reinforcement learning agents in simulation environments. Strong analytical background in statistics and algorithm design, with multiple industry-recognized certifications in Machine Learning and Data Science. Passionate about solving complex real-world problems through data-driven decision making.
🤝 Top Collaborators
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🤓 Latest Submissions
RouteME - Smart Sightseeing Route Optimizer
RouteME is an AI agent that turns "I have a few hours and I like history and food" into an actual walkable sightseeing route. Given a starting location, a time budget, and a set of interests, it builds a sequence of real points of interest, using a Groq-hosted Llama 3.3 70B model as a tool-calling agent that reasons over candidate stops and picks the ones that best match the traveler's constraints. If the AI agent is unavailable or fails, a deterministic nearest-neighbor heuristic takes over automatically, so the app never breaks. Every piece of data behind the route is real: Geoapify supplies points of interest and walking travel times, and each stop's description is pulled live from Wikipedia. If no English article exists for a location, it's automatically translated via Google Translate, with a visible disclosure so users always know when text has been machine-translated rather than natively written. Routes render on an interactive Leaflet map alongside a synchronized stop list, with click-to-view descriptions for every point of interest.
12 Jul 2026
