Login Page: Provides a single secure entry point for Students, Teachers, Admins with role based access to the attendance management system.
Students: Displays student details, classes, departments, and attendance percentages, making low-attendance students easy to identify.
Attendance Intelligence: SharedOS-powered insights on attendance, risk levels, and areas needing attention.
Daily & Historical Attendance: Calendar-based tracking of daily attendance with Present, Absent, Late, and Holiday statuses.
Semester-wise attendance summary with overall percentage, subject performance, and detailed records, with CSV and PDF export options.
Smart Attendance Notifications: Keeps students updated with attendance warnings, upcoming lectures, announcements, and schedule changes.
Student Profile: Displays key academic details, student information, and overall attendance status.
Student Settings: Gives students access to attendance preferences and upcoming smart attendance options.
Teacher Dashboard: Shows total students, attendance status, overall percentage, trends, subject performance, and students below 75%.
Attendance Dashboard using Graphs
Mark Attendance: Lets teachers mark students Present, Absent, or Late, with bulk marking and attendance export.
Notifications: Keeps users updated with attendance warnings, announcements, and important academic information.
Teacher Settings: Manage attendance alerts, automatic late marking, and upcoming smart attendance features.

1] Inspiration: Attendance is more than just a percentage. A student at 68% needs attention, but simply displaying 68% doesn't tell a teacher what to do next.We built AttendIQ to turn ordinary attendance data into actionable intelligence—helping colleges track attendance, identify at-risk students, and make faster decisions. Our goal was simple: Track. Analyze. Improve Attendance.

2] What it does: AttendIQ is a smart attendance platform for students and teachers. 📊 Tracks overall and subject-wise attendance 👩‍🏫 Lets teachers mark and manage attendance 📈 Shows attendance history and analytics 🚨 Identifies students below the 75% threshold 🛡️ Assigns Low, Medium, or High attendance risk 🤖 Exposes attendance.analyze as a SharedOS service that agents can invoke for structured attendance analysis So instead of just asking “What is the attendance?”, AttendIQ helps answer “Who needs attention?”

3] How I built it: We built AttendIQ using:

React • TypeScript • TanStack • Vite • Firebase • SharedOS • Cloudflare Workers The core system manages attendance records and calculates attendance percentages. We then created the SharedOS service: attendance.analyze It accepts student attendance data and returns: Overall attendance At-risk students Risk levels Attendance statistics Actionable observations We implemented SharedOS authorization, exposed the service through an HTTP API, deployed it to Cloudflare, and successfully tested the live production service.

4] Challenges I ran into: The biggest challenge was turning a normal attendance feature into a proper SharedOS service. We had to understand: Tool registration Capability-based authorization Request contracts Agent/service context Trace IDs Production deployment Our first API requests failed because of authorization and request-contract issues. Debugging these taught us how SharedOS actually handles secure service invocation—and we eventually got the production service to return succeeded. 🚀

5] Accomplishments that I'm proud of: We're proud that AttendIQ is more than a dashboard. ✨ A working attendance platform ✨ A dedicated attendance intelligence layer ✨ A callable attendance.analyze SharedOS service ✨ Capability-controlled service access ✨ Live Cloudflare deployment ✨ Successful production SharedOS invocation Most importantly, we turned attendance data into a reusable service that an agent can understand and use.

6] What I learned: This project taught us that building an agent-ready service requires more than writing an API. We learned about service contracts, capability-based access, authorization, structured outputs, debugging distributed requests, and production testing.Most importantly, we learned to focus on one meaningful capability and make it actually work end-to-end.

7] What's next for AttendIQ: Today, AttendIQ answers: “Who is at risk?” Next, we want it to answer: “What should happen next?” Future plans include: 🔮 Attendance prediction 💡 Personalized recommendations 🤖 Agent-powered academic workflows 📩 Smart attendance notifications 📊 Institution-level analytics 🔗 More SharedOS services such as attendance.predict and attendance.recommend Our vision: turn AttendIQ from an attendance tracker into an agent-powered academic intelligence platform. 🚀

🔐 Demo Credentials

Student: Email: [email protected] Password: demo123

Teacher: Email: [email protected] Password: demo123

Admin: Email: [email protected] Password: demo123