This project presents the productionized version of the Agentic AI PowerPoint Builder, a multi-agent system that automatically generates complete PowerPoint presentations from simple user inputs such as topic, slide count, content depth, font style, and image preference.
Originally developed as a Module-2 prototype, the system has now been upgraded to a Module-3 production-ready application with:
Robust error handling
Automated testing using pytest
Integration validation across agents
Deployment as a live Streamlit application
Comprehensive testing documentation
The result is a fully deployable, quality-assured agentic AI system that demonstrates real-world readiness beyond experimentation.
Generating professional presentations manually requires:
Structuring slide flow
Writing concise content
Finding relevant visuals
Maintaining consistent formatting
While LLMs can generate text, end-to-end presentation generation requires coordinated reasoning, making it an ideal use case for multi-agent AI systems.
Module-2 focused on:
Building a multi-agent LangGraph workflow
Integrating external tools
Generating PPTX automatically
Module-3 extends this into production readiness by adding:
Reliability
Testing
Deployment
Documentation
Observability
The application allows users to provide:
Presentation topic
Number of slides
Font style
Content depth (Minimal / Concise / Detailed)
Image inclusion preference
The system then produces a downloadable, fully formatted PPTX presentation automatically.
The system uses LangGraph orchestration with four specialized agents:
Slide Planner Agent
Creates structured slide outlines and titles.
Content Writer Agent
Generates slide-wise bullet content based on requested depth.
Visual & Image Agent
Fetches relevant royalty-free images using an external API.
PPT Builder Agent
Constructs the final PowerPoint file using python-pptx.

Figure 1: Multi-agent LangGraph architecture for automated PPT generation.
The production system integrates multiple external tools:
LLM generation engine
LangGraph orchestration
Image retrieval API
python-pptx for presentation creation
Streamlit for deployment interface
This satisfies multi-tool agentic orchestration requirements.
The system is publicly deployed and accessible online:
Live App:
https://agentic-ppt-builder-ngc9r4gbrguxnjq7tw7kqg.streamlit.app/
Users can generate and download presentations directly from the browser, demonstrating real production usability.

Figure 2: Deployed Streamlit interface for presentation generation.
To ensure production reliability, a comprehensive pytest testing suite was implemented covering:
Unit tests for each agent
Edge-case validation
Mocked external API behavior
Full multi-agent pipeline integration
All tests executed successfully, confirming stable end-to-end functionality.

Figure 3: Pytest execution showing all automated tests passing.
A dedicated testing report document records:
Test names
Components tested
Methods used
Expected vs actual results
Pass/fail outcomes
This provides transparent production validation evidence.
The upgraded system now demonstrates:
Robust error handling
Safe API interaction
Automated regression testing
Stable multi-agent orchestration
Public deployment availability
Therefore, the Agentic AI PowerPoint Builder can be considered Module-3 production ready.
This project shows how an experimental multi-agent AI prototype can be transformed into a fully deployable, quality-assured production system.
By combining:
LangGraph-based agent collaboration
External tool integration
Automated testing
Live deployment
the Agentic AI PowerPoint Builder fulfills ReadyTensor Module-3 objectives and demonstrates the real-world potential of agentic AI systems.