SocietiQ

Inspiration

SocietiQ was inspired by a simple gap I kept seeing in real life. People openly discuss serious community problems in chats and social media, but those conversations rarely turn into organized action. There is no clear ownership, no structured follow-up, and no transparent way to track progress. I wanted to build a project that helps communities move from awareness to coordinated execution. While validating the idea, I also realized that many NGOs struggle with operations such as accounting and legal compliance, which shaped the idea of offering paid support plans for organizations.

What it does

SocietiQ is an AI-powered civic collaboration platform that transforms community issues into structured, trackable workflows. Citizens, NGOs, and local teams can submit problems, collaborate on solutions, and monitor progress in one place. The platform automates follow-ups, task assignments, and reporting, and also offers optional paid plans that provide accounting and legal support workflows for organizations.

How we built it

We built SocietiQ as a modern web application using Next.js for the frontend and API-based services for the backend. An automation layer handles reminders, approvals, and reporting workflows. An AI layer helps classify issues, assign priorities, and recommend actions. The system converts free-text problem reports into structured tasks so teams can collaborate efficiently. For paid plans, we added dedicated workflows for accounting operations, legal documentation, and compliance reporting.

Challenges we ran into

The biggest challenge was converting real-world, unstructured problem descriptions into reliable structured workflows. People describe issues differently, often with incomplete or emotional context. Another major challenge was deciding where automation should stop. In civic and compliance-related workflows, human approval is critical. Designing secure access control and audit trails for accounting and legal features was also complex and required multiple iterations of the data model.

Accomplishments that we're proud of

We successfully built a working platform that can transform community issues into actionable workflows and support collaboration across different roles. We also implemented automation for follow-ups and progress tracking, which significantly reduces manual coordination. Designing realistic accounting and legal support pipelines within a hackathon timeframe is another key achievement we are proud of.

What we learned

We learned that civic technology must be designed for messy, emotional, and incomplete input. We also learned that AI is most effective when it assists people rather than replaces decision-making. From a product perspective, we learned how important transparency, accountability, and role clarity are when building tools for social and organizational impact.

What's next for SocietiQ

Next, we plan to expand workflow customization for different types of organizations, improve AI accuracy for issue classification and prioritization, and introduce dashboards to measure social impact over time. We also plan to onboard legal and accounting professionals into the platform so paid plans can offer direct expert support alongside automated compliance and reporting workflows.

Built With

• capacitor
• firebase
• nextjs
• react
• tailwindcss
• typescript