Personal Material Safety Data Sheet Generator
🧑🏽‍🔬

Personal Material Safety Data Sheet Generator

Category
Growth
Date
April 13, 2025
Growth Subcategory
Project
Status
Building in Public

This was inspired by a tumblr screenshot, and I thought it was a good way to get started learning how to use streamlit and Gemini Flash 1.5

image

GitHub: github.com/shudshudshud/msds-generator-app

Live Demo: MSDS Generator on Streamlit

Status: Early Prototype

Timeline: April 2025

Project Overview

The Material Safety Data Sheet (MSDS) Generator is a fun tool that creates satirical "safety data sheets" for humans based on a viral Tumblr post. Inspired by the humorous take on treating people like chemical compounds, I built this as a way to learn Streamlit and experiment with Google's Gemini API.

This project was a perfect entry point for me to explore AI-powered web applications while creating something amusing that plays on the formal language of chemical safety documentation.

Core Features:

  • Human MSDS Generation: Creates a professional-looking safety data sheet for people
  • Customizable Parameters: Users can input names and characteristics
  • Professional Format: Output mimics the standard sections of a real MSDS, including hazards, handling, and storage
  • AI-Generated Content: Uses Gemini to generate creative and humorous safety precautions

Tech Stack:

  • Language: Python
  • Framework: Streamlit for rapid web app development
  • AI Integration: Google's Gemini API for content generation
  • Deployment: Streamlit Cloud for hosting
  • Version Control: Git/GitHub

Lessons & Next Steps

Key Learnings:

  • Setting up a Streamlit application from scratch
  • Implementing API authentication with Gemini
  • Designing prompt engineering to generate structured outputs
  • Managing API rate limits and response handling

Technical Challenges:

  • Structuring prompts to get consistent, well-formatted MSDS results
  • Handling API errors and timeouts gracefully
  • Balancing humorous content with appropriate boundaries

Future Development Plans:

  1. Improved UI: Add more styling and visual elements to make the application look more professional
  2. Chemical Compound Generation: Implement a feature to generate fictional chemical formulas for human traits
  3. PDF Export: Add ability to download the MSDS as a properly formatted PDF
  4. Extended Parameters: Include more customization options like personality traits, hobbies, etc.
  5. Image Integration: Generate custom hazard symbols based on the person's characteristics
    6. image

Version History:

  • v0.1 (April 13, 2025): Initial implementation with basic Streamlit interface and Gemini API integration
  • v0.2 (Planned): Enhanced UI and additional parameter options
  • v0.3 (Planned): Chemical compound generation for human traits