The problem PolySync solves

Governments often make policy decisions without sufficient citizen input, leading to policies that may not fully align with public needs or expectations. Citizens feel disconnected from the process and lack visibility into how their feedback is incorporated into policy-making. Traditional governance systems are also reactive rather than proactive, responding to issues only after they arise. There is a critical need for a system that democratizes the policy-making process, allowing real-time, data-driven participation from citizens.

Challenges we ran into

Challenges We Ran Into

1. Dataset Creation

Problem: Finding a suitable dataset for our project was challenging. We needed a dataset that was relevant to our specific use case but could not find a publicly available one that fit our requirements.

Solution: To overcome this, we created a custom dataset tailored to our needs. This involved collecting data from various sources, cleaning it, and ensuring it was properly formatted for use with our AI models. Creating our dataset from scratch allowed us to have better control over the quality and relevance of the data used in our project.

2. AI Model Integration

Problem: Integrating our AI model with the backend was a complex task. We faced difficulties in directly connecting the model to our Node.js backend and managing its interactions effectively.

Solution: To address this, we used Gradio for the AI model integration. Gradio provided an easy-to-use interface for interacting with our model and allowed us to test it in a more controlled environment. We set up a Gradio interface for the model and connected it to our backend via HTTP requests. This approach simplified the integration process and ensured that the model could be accessed and used efficiently in our application.