Msme | Devpost

Inspiration

Two key problems motivated the creation of MsmeAI:

Weather and flooding risks in Malaysia. Flooding and sudden weather changes frequently disrupt businesses, affecting logistics, operations, and customer service.
Malaysia’s multilingual environment. Malaysia is a multicultural country where people communicate in multiple languages and dialects. Many small and medium businesses struggle to provide customer support across these languages.

These challenges highlighted the need for a platform that helps businesses both adapt to environmental risks and communicate effectively with diverse customers.

What It Does

MsmeAI is a platform that allows businesses to create a detailed profile containing the full context of their operations. Based on this information, the system provides an AI assistant that:

Understands the specific context of the business (industry, processes, services, etc.).
Provides weather-aware insights using data from the Google Weather API, helping businesses anticipate disruptions.
Integrates with messaging platforms, allowing the AI assistant to communicate directly with customers.
Supports multiple languages and dialects, enabling businesses to interact with a broader audience without language barriers.

How We Built It

The platform was developed using:

Google Antigravity for rapid prototyping and development
Google AI Studio
The Gemini 2.5 Pro model to power the AI assistant

These tools allowed us to quickly build an AI system capable of understanding business context and responding intelligently to customer queries.

Challenges We Ran Into

One of the main challenges was tuning the AI model so that the chatbot consistently provides accurate and reliable responses. Ensuring that the assistant stays aligned with the business context while maintaining natural conversations required careful prompt design and testing.

Accomplishments That We're Proud Of

We successfully built a system that can:

Analyze different business types and workflows
Combine business data with weather insights
Provide context-aware AI support for customer communication

This allows businesses to better anticipate risks and maintain smooth operations even under challenging conditions.

What We Learned

During development we learned:

How to deploy an application under strict time constraints
How to debug critical issues quickly, sometimes with only minutes left before deadlines
How to coordinate development in a fast-paced environment

What’s Next for MsmeAI

Our next goal is to deploy the platform across Malaysia, helping local businesses optimize their operations. In the future, the system could expand globally and support businesses in optimizing: