🚀 Welcome to the ikanam-ai organization! We are a team of passionate data scientists who love taking on challenges and pushing the boundaries of what is possible in the world of artificial intelligence. Our repositories cover a diverse range of projects, each showcasing our commitment to innovation and problem-solving.
We are a dynamic team of data scientists at ikanam-ai, fueled by curiosity and driven by a shared passion for leveraging AI to make a positive impact. From tackling environmental challenges to exploring the frontiers of natural language processing, we are dedicated to pushing the boundaries of what AI can achieve.
- Description: A powerful assistant for plant-related information, utilizing Jupyter Notebooks.
- Repository: Wiki-PlantsAssistant
- Language: Jupyter Notebook
- License: MIT
- Description: Exploring the application of GPT models to analyze Merezhkovsky's articles.
- Repository: MerezhkovskyArticleGPT
- Language: Jupyter Notebook
- Description: Detecting violations in landfills using Jupyter Notebooks.
- Repository: DetectionViolationsLandfills
- Language: Jupyter Notebook
- Description: Time series analysis for central bank data.
- Repository: TimeSeries-CentralBank
- Language: Jupyter Notebook
- Description: Exploring ethical considerations in bank reviews using Jupyter Notebooks.
- Repository: EthicsBankReviews
- Language: Jupyter Notebook
- Description: Named Entity Recognition for video descriptions using Jupyter Notebooks.
- Repository: NER-video-description
- Language: Jupyter Notebook
- Description: Python project focused on accessing Arctic data.
- Repository: ArcticAccess
- Language: Python
- Description: Repository for the ikanam team's project in Krasnodar LCT 2023.
- Repository: lct_2023_Krasnodar
- Language: Python
- Description: Jupyter Notebook project for estimating job skills.
- Repository: JobSkillsEstimator
- Language: Jupyter Notebook
Feel free to explore our projects, contribute, and join us on our exciting journey of data science exploration and innovation! 🌐🔍✨