Connectify aims to smart contracts and LLMs to ensure and enforce the appropriate use of funds collected through donations.

Contents

Summary:

• We want to encourage greater participation by stakeholders in policymaking, especially from groups that are unheard of. Hence, we created an accessible bot on Telegram where any user will be able to provide feedback about problems they see in the city and possibly share solutions to these problems.
• The feedback will be collected and immediately uploaded to the NEAR Protocol blockchain for storage, which enhances transparency and helps to propagate the troubles of residents. Policymakers will then be able to ask the bot to suggest policies. The bot will retrieve feedback data from the blockchain by reading off the smart contract we deployed, and identify the most pressing issues in a particular area. The data will then be passed to LLMs which will generate a suggested policy to be implemented.
• In order to foster inclusive policymaking and prioritize the voices of underrepresented groups, we have developed a user-friendly Telegram bot. This platform empowers stakeholders to express their concerns and propose solutions for the challenges they observe in the city.
• Our system ensures a robust and participatory process by meeting specific requirements. It facilitates the elicitation of preferences and values from various stakeholders, enabling them to share their insights. The collected feedback is seamlessly aggregated into collective priorities.
• Furthermore, our innovative approach incorporates participatory auditing and oversight. The feedback provided by users is instantly recorded on the NEAR Protocol blockchain, ensuring transparency and visibility of residents' concerns. This blockchain integration acts as a mechanism for real-time tracking of key model attributes and deployment progress
• To bridge the gap between stakeholders and policymakers, the bot offers a unique feature. Policymakers can request policy suggestions, and the bot will retrieve relevant feedback data from the blockchain through a deployed smart contract. By harnessing Language Model Models (LLMs), the system generates suggested policies tailored to address the most pressing issues in specific areas.
• In summary, our system empowers stakeholders, leverages blockchain technology for transparency, and uses advanced AI to facilitate responsive policymaking, thereby fostering a more inclusive and effective governance process.

Team Members:

Beverly Wan

Eric Zhang

Sean Manik

Links:

Codebase: https://github.com/seanmanik/hackoween-gote

Smart Contract: https://testnet.nearblocks.io/address/nycsuggestions1.testnet

Telegram Bot: @NYC_FeedbackBot (Run /suggest to trigger LLM policy generation)

Pictures