Daniel Beltejar

A car dealership page featuring a chatbot interface that mimics a live chat. The chatbot leverages a large language model to assist users in exploring car options, providing detailed information and guiding them through the buying process. This project showcases an LLM integration.

A self-made online game inspired by the art style and mechanics of an old flash game. Offering a unique blend of retro and modern elements that provide an engaging and immersive experience for players. This project was made to inquire into creating and implementing a complex online game system using a range of modern technologies.

Developed a web scraping project that extracted pricing data from Uber Eats across different countries. Using web scraping techniques, I retrieved food prices and organized and stored the data. Additionally, I implemented an Rest endpoint that allows the data to be retrieved and presented in a styled format on a webpage.

Created a Pokémon Weather Map app that displays real-time weather info for Spanish provinces, linking Pokémon characters to weather conditions. It retrieves data from OpenWeatherMap API, generating a color-coded map based on temperature. Pokémon are assigned based on local weather and shown on the map, offering an engaging and informative user experience.

A solution for storing and managing the data of 6 million users. Allows for the manipulation of users data, statistics, leaderboards and game mechanics, to provide a comprehensive system for managing user data. Redis was used to enable efficient and scalable data management. This solution effectively handles thousands of simultaneous users reliably.

A self-made project that collects public data on Spanish real estate to analyze the evolution of housing prices over time. Gather, process, and present data in a user-friendly format. This project demonstrates the skill in working with big data and web technologies to create a valuable resource for understanding trends in the housing market.