AI-Based University Complaint Analysis System

We built an AI-driven complaint analysis platform that helps universities detect urgent student issues instantly using Generative AI, improving response time and campus problem management.”

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Inspiration

Inspiration The idea for this project came from a common problem in many universities where student complaints are handled manually. This often leads to slow responses, lost complaints, and difficulty identifying urgent issues. We wanted to build a system that could automatically analyze and organize complaints using AI so that administrators can respond faster and more efficiently.

What it does

The project is an AI-powered university complaint management system that helps students submit complaints and allows administrators to manage them efficiently. Students can submit their complaints through an online form. The system then sends the complaint text to an AI model using the Gemini API connected to the Gemini.

How we built it

The project is an AI-powered university complaint management system that helps students submit complaints and allows administrators to manage them efficiently. Students can submit their complaints through an online form. The system then sends the complaint text to an AI model using the Gemini API connected to the Gemini.

Challenges we ran into

One of the main challenges was integrating the AI API with the backend and ensuring the responses were structured correctly. Another challenge was designing a clean and user-friendly interface for both students and administrators. We also had to test different prompts to make sure the AI classified complaints accurately.

Accomplishments that we're proud of

We built the project using HTML, CSS, and JavaScript to create the user interface where students submit complaints. The backend was developed using Python with Flask to handle requests and process data. Complaints are stored in a SQLite database, and the system uses the Gemini API with the Gemini to analyze complaint text, categorize issues, and assign priority automatically. The results are displayed on an admin dashboard for quick review and resolution.

What we learned

We successfully built a fully working AI-powered complaint system that can automatically analyze and categorize student issues. We integrated the Gemini API with the Gemini to understand complaint text and assign priority. We also created a clean user interface and an admin dashboard that makes it easy for universities to manage and resolve student problems quickly.

What's next for AI-Based University Complaint Analysis System

In the future, we plan to improve the system by adding more advanced features. We aim to develop a mobile application so students can submit complaints easily from their phones. We also plan to add email or notification alerts for administrators when high-priority issues are detected. Advanced analytics and charts will be included in the admin dashboard to help universities understand common problems. We also plan to improve AI accuracy using the Gemini through the Gemini API and integrate the system with university management platforms for a more complete solution.

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