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This repository seeks to optimize bikes distribution of a public bicycle renting service across city stations using local search algorithms like Hill Climbing and Simulated Annealing, aiming to minimize costs and efficiently meet demand. It includes tools to visualize the distribution and showcases the utility of AI in urban logistics.

Python 100.00%
ai-algorithms hill-climbing local-search local-search-algoirthms simmulated-annealing

bicing-optimization-local-search's Introduction

Cai Selvas Sala

About Me

I'm an Artificial Intelligence student at the Universitat Politècnica de Catalunya (UPC), passionate about leveraging machine learning, deep learning, and data analysis to solve complex problems. With a solid foundation in programming languages and AI algorithms, I strive to create impactful solutions in the field of artificial intelligence.

Current Studies

  • 📚 Bachelor's degree in Artificial Intelligence (2022 - Present): Universitat Politècnica de Catalunya (UPC), Barcelona, Spain.
  • 🏆 Achievements: Honour distinction in Programming and Algorithms I, Mentor of newcomers, Member of Junta de la FIB (Shoool Board of Barcelona School of Informatics).
  • 📈 Grade: Current GPA: 8.49/10.

Skills

  • Programming Languages: Python, R, SQL, C, C++, PDDL.
  • Main Skills: Machine Learning, AI algorithms, Deep Learning & Neural Networks, Data Science & Data Analysis, Natural Language Processing (NLP), Mathematics & Statistics, Parallelization.

Hackathons and Events

  • [HackUPC 2023] Winner of Bunge’s challenge: Developed a program that processes requests in natural language to extract information from large datasets.
  • [Datathon FME 2023] NTT Data challenge: A project that forecasted the next year’s required purchases for a set of hospitals using time series analysis.
  • [Challenge IA i Auditoria 2024] Winner project: A project to predict the inventory impairment using advanced AI models such as autoencoders (NN), advanced time series algorithms, EBM for explaining the results, word embeddings, RAG to interpret the results and more. We emerged to create a model user friendly in order to help auditors with their work.
  • [HackUPC 2024] InterSystems challenge: Creation of a program that suggests travel destinations and points of interest by leveraging user prompts, image recognition, and Retrieval-Augmented Generation (RAG) using embeddings on the InterSystems IRIS Data Platform.

Languages

  • Spanish (Native).
  • Catalan (Native).
  • English (Advanced).

Past Studies

  • Technological Baccalaureate (2020 - 2022): Institut Escola Industrial, Sabadell, Spain.
    • GPA: 9.1 (with honours). Selectivity (PAU) grade: 12.44.

bicing-optimization-local-search's People

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