Inspiration
University campuses often face issues such as WiFi failures, broken infrastructure, hostel maintenance problems, and mess complaints. These issues are usually reported through informal channels, making them difficult to track and resolve efficiently. We were inspired to create a system that allows students to easily report issues while helping the administration monitor and manage campus problems more effectively.
What it does
KampusSight is an AI-powered smart campus monitoring platform that allows students to report campus issues using text descriptions and optional images. The system uses AI to automatically analyze complaints, categorize them, and determine their urgency level. All complaints are displayed on a command center dashboard where administrators can monitor trends and respond quickly. The platform also includes an AI assistant for answering student queries and a feedback system to review resolved issues.
How we built it
We built KampusSight using Streamlit for the user interface and Google Gemini AI for analyzing complaints and images. The system processes complaint data and organizes it using Pandas, while Pillow (PIL) is used for handling uploaded images. The application includes three main modules: the student complaint portal, an admin command center dashboard, and an AI-powered campus assistant.
Challenges we ran into
One of the main challenges was integrating AI analysis for both text and images within a short development time. Designing a clean and professional user interface while ensuring smooth interaction between different modules was also challenging. Additionally, structuring AI prompts to accurately categorize complaints required experimentation and refinement.
Accomplishments that we're proud of
We successfully built a working prototype that integrates AI-powered complaint classification, a real-time dashboard for administrators, and a campus AI assistant. The system demonstrates how AI can be used to improve communication between students and university management while making campus issue tracking more efficient.
What we learned
Through this project we learned how to integrate AI models into real applications, design user-friendly dashboards, and manage data flows between different components of a system. We also gained experience working with multimodal AI models that can analyze both text and images.
What's next for KampusSight
In the future, KampusSight could be expanded into a full smart campus platform. Possible improvements include a mobile application for students, integration with university portals, predictive analytics for detecting recurring problems, and IoT-based monitoring systems for campus infrastructure.
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