Inspiration
In our nearby surroundings there a numerous problems which can arise and often needs faster solutions but most of the time there are delays. Due to these delays the civic issues like water leakages, electricity issues, sewage and garbage related issues and other sanitation issues are either half solved or not even fully solved. Citizens feel frustrated when their complaints are not even reached t correct municipal department. So we wanted to create a system that bridges this gap, making cities more responsive, transparent, and citizen-friendly.
What it does
Grievance Genie captures citizen complaints from mobile apps, emails, and social media. It classifies and prioritizes issues using IBM Granite models and automatically routes them to the correct municipal department via ADK. Citizens get real-time updates via SMS or WhatsApp, while officers monitor all complaints on a dynamic dashboard.
How we will build it
We plan to use IBM Granite models for classification, ADK for workflow automation, data preprocessing toolkits, and notification channels like SMS/WhatsApp. The dashboard will provide performance metrics and insights for officers.
Challenges we expect
Handling multiple tools.
What we hope to accomplish:
educe manual workload, faster complaint resolution, increased transparency, higher citizen satisfaction.
What we will learn
Importance of data arrangement, how important is cleaned data and implementing AI properly
What's next for Grievance Genie-Track3
Integrating AI in municipal workflows, scaling the solution across multiple cities, adding predictive analytics or voice-based complaint reporting.
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