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Mantis Slides Repository

A centralized repository for presentation slides from MantisAI team talks and presentations.

🎯 Purpose

This repository serves as a public archive of presentation slides from MantisAI team members. After giving talks at conferences, meetups, workshops, or other events, we upload the slides here so attendees and the broader community can access them.

📁 Directory Structure

We organize slides using a date-event naming convention:

YYYY/
└── YYYY-MM-event-name/
    ├── slides.pdf
    ├── README.md (optional)
    └── resources/ (optional)

Examples:

2024/
├── 2024-01-pydata-london/
│   ├── slides.pdf
│   └── README.md
├── 2024-03-ai-summit-berlin/
│   ├── slides.pdf
│   └── resources/
│       └── demo-notebook.ipynb
└── 2024-06-govtech-conference/
    └── slides.pdf

2025/
└── 2025-02-data-science-expo/
    ├── slides.pdf
    └── README.md

📋 Naming Convention

  • Year folders: YYYY/ (e.g., 2024/, 2025/)
  • Event folders: YYYY-MM-event-name/ (e.g., 2024-03-pydata-london/)
  • Main slides: Always named slides.pdf
  • Optional files:
    • README.md for event details, abstract, or additional context
    • resources/ folder for supplementary materials (notebooks, code, datasets)

🚀 How to Contribute

For MantisAI Team Members:

  1. Create a new folder following the naming convention
  2. Upload your slides as slides.pdf
  3. Optionally add a README.md with:
    • Event details (date, location, audience size)
    • Talk title and abstract
    • Key takeaways or follow-up resources
  4. Include any supplementary materials in a resources/ folder

Example Event README.md:

# AI for Climate Tech - Data Science Festival 2024

**Date:** March 15, 2024  
**Location:** London, UK  
**Speaker:** [Name]  
**Audience:** ~200 data scientists and ML engineers

## Abstract

This talk explores how artificial intelligence and machine learning techniques are being applied to address climate change challenges...

## Key Resources

- [Demo repository](https://github.com/MantisAI/climate-demo)
- [Referenced paper](https://example.com/paper)
- [Dataset used](https://example.com/dataset)

📞 Contact

For questions about presentations or speaking opportunities:


MantisAI - AI consultancy specializing in Natural Language Processing and Machine Learning solutions.

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