hackapucsp-2024
π HackaPUCSP 2024 - - Data Science and AI Hackathon - Pontifical Catholic University of SΓ£o Paulo
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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βCITATION.cff file
Found CITATION.cff file -
βcodemeta.json file
Found codemeta.json file -
β.zenodo.json file
Found .zenodo.json file -
βDOI references
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βAcademic publication links
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βAcademic email domains
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βInstitutional organization owner
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βJOSS paper metadata
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βScientific vocabulary similarity
Low similarity (6.4%) to scientific vocabulary
Keywords
Repository
π HackaPUCSP 2024 - - Data Science and AI Hackathon - Pontifical Catholic University of SΓ£o Paulo
Basic Info
- Host: GitHub
- Owner: Mindful-AI-Assistants
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://github.com/Mindful-AI-Assistants/HackaPUCSP-2024
- Size: 74.2 MB
Statistics
- Stars: 13
- Watchers: 1
- Forks: 1
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
[π§π· PortuguΓͺs] [πΊπΈ English]
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##
π HackaPUCSP 2024 - Data Science and AI Hackathon - Pontifical Catholic University of SΓ£o Paulo ####
π 2nd edition | 2024
β οΈ Heads Up
Projects and deliverables may be made publicly available whenever possible.
The course prioritizes hands-on practice with real data in consulting scenarios.
All activities comply with the academic and ethical guidelines of PUC-SP.
Confidential information from this repository remains private in private repositories.
Table of Contents
- HackaPUCSP
- Motivation
- TEDE
- Datas and Dataset
- Search Strings
- Anonymization
- Evaluation
- Codes and Data Analysis Report
- Our Champion Team
- Contribution
- Spread the Word!
- Main Contributors
- HackaPUCSP-2024 Certificate
π¨βπ» HackaPUCSP 2024
HackaPUCSP is an innovative hackathon that took place during the first week of the 2024 academic year, uniting students from the Data Science and Artificial Intelligence program at PUC-SP to tackle global challenges. In this second edition, teams from various semesters, ranging from the first to the seventh, collaborated to address innovative challenges.
The competition culminated on March 1st, showcasing remarkable teamwork and creativity. The winning team, composed of students across different semesters, excelled in addressing issues related to the United Nations Sustainable Development Goals (SDGs). This event provided a unique opportunity for participants to apply their knowledge in Data Science and Artificial Intelligence to real-world sustainability challenges.
For more details about the competition, please check out the PUC Journal and PUC TV.
π‘ Motivation
This project focuses on the undergraduate research in Data Science and Artificial Intelligence at PUC-SP, with a focus on the Sustainable Development Goals (SDGs), aiming to promote innovative solutions for global challenges.
π TEDE
TEDE, or the Digital Repository of Academic Works, is a digital platform that houses academic works from PUCSP (Pontifical Catholic University of SΓ£o Paulo). It's a valuable resource for anyone interested in the research and academic output of the university. The repository includes a wide range of materials, such as dissertations, theses, and end-of-course worksΒΉ. You can visit the site at tede.pucsp.br. Please note that some materials may require login credentials for access.
π Datas and Dataset
The data for this project was extracted from TEDE and includes titles, abstracts, keywords, and other metadata from over 1,000 academic works, covering various themes relevant to sustainability.
π Search Strings
Search strings are filtering tools that help identify and classify academic texts in relation to the Sustainable Development Goals (SDGs). The SDGs are a set of 17 global goals established by the United Nations in 2015 to address critical social, economic, and environmental challenges by 2030. These goals aim to promote peace, prosperity, and sustainability, covering areas such as poverty reduction, education, gender equality, clean water, and climate action.
π΅οΈββοΈ Anonymization
The data was collected from TEDE with personal information removed to ensure privacy.
π Evaluation
This project was assessed based on the process, performance, creativity of the solution, findings, and communication and presentation skills.
π Codes and Data Analysis Report
π Data Analysis Report
π 1HackaPUCSPCode
π 2RefactoredCode
π 3RefactoredTest_Code
π Our Champion Team - Group 5:
- BΓ‘rbara Melo - (3Β° semester)
- Fabiana π Campanari - (1Β° semester)
- Gustavo Muriano - (1Β° semestre)
- Henrique Araujo - (3Β° semester)
- Juliana Soares - (3Β° semester)
- Leonardo Xerez - (1Β° semestre)
- Luan Fabiano - (1Β° semester)
- Pedro Gallego Barenco - (1Β° semester)
- Rebecca Campos - (3Β° semester)
Contribution
Any contributions are highly appreciated. You can contribute in two ways:
Create an issue and tell us your idea π‘. Make sure that you use theΒ new ideaΒ label in this case;
Fork the project and submit a full requesto with your new idea. Before doing that, please make sure that you read and follow theΒ Contributions Guide. βΉβ πΰΉ
Spread the word! ππ€
If the information from this repo was useful to you in any way, make sure you give it a star π, this way others can find it and benefit too! Together we can grow and make our community better!
Do you have any suggestions on how we could improve this project overall? Let us know! We'd love to hear your feedback
Main Contributors on this Repo
- Fabiana π Campanari
HackaPUCSP 2024 - Fabiana Campanari Certificate π
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Copyright 2024 Mindful-AI-Assistants. Code released under the MIT license.
Owner
- Name: π€ Mindful AI ΰ₯
- Login: Mindful-AI-Assistants
- Kind: organization
- Email: fabicampanari@proton.me
- Location: Brazil
- Website: https://github.com/Mindful-AI-Assistants
- Repositories: 4
- Profile: https://github.com/Mindful-AI-Assistants
π€ Empowering businesses with AI-driven technologies like Copilots, Agents, Bots and Predictions, alongside intelligent Decision-Making Support π€
Citation (CITATION.cff)
cff-version: 1.2.0 title: π HACKAPUC-SP repository message: If you really want to cite this repository, here's how you should cite it. type: software authors: - given-names: Mindful-AI-Assistants repository-code: https://github.com/Mindful-AI-Assistants/HackaPUCSP license: MIT License
GitHub Events
Total
- Issues event: 40
- Watch event: 1
- Delete event: 32
- Issue comment event: 2
- Member event: 1
- Push event: 52
- Pull request review event: 3
- Pull request event: 61
- Fork event: 1
- Create event: 30
Last Year
- Issues event: 40
- Watch event: 1
- Delete event: 32
- Issue comment event: 2
- Member event: 1
- Push event: 52
- Pull request review event: 3
- Pull request event: 61
- Fork event: 1
- Create event: 30
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 189
- Average time to close issues: N/A
- Average time to close pull requests: 1 minute
- Total issue authors: 0
- Total pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.01
- Merged pull requests: 189
- Bot issues: 0
- Bot pull requests: 10
Past Year
- Issues: 0
- Pull requests: 189
- Average time to close issues: N/A
- Average time to close pull requests: 1 minute
- Issue authors: 0
- Pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.01
- Merged pull requests: 189
- Bot issues: 0
- Bot pull requests: 10
Top Authors
Issue Authors
- github-actions[bot] (315)
- FabianaCampanari (8)
Pull Request Authors
- FabianaCampanari (154)
- github-actions[bot] (22)
- dependabot[bot] (21)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
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