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Login Page
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Admin Dashboard
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Students Dashboard
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Attendance Analysis
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Exam Scheduler
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AI Student Chatbot
Inspiration
We noticed that many colleges still struggle with manual academic management during exams — seating plans, hall tickets, schedules, and communication often create confusion and stress. Expensive ERP solutions exist, but many institutions cannot afford them. This motivated us to build StudX, an affordable AI-powered solution that simplifies campus operations.
What it does
StudX is an AI-powered academic automation platform that helps colleges manage exam and campus operations efficiently. It automatically generates seating arrangements, hall tickets, invigilation schedules, prevents event clashes, and provides syllabus-focused learning support for students.
By replacing manual spreadsheets and scattered communication, StudX reduces administrative workload, saves time, and makes academic processes faster, smarter, and more reliable for institutions and students.
How we built it
We developed StudX as a cross-platform application using Flutter for the frontend, Node.js for backend services and APIs, and MySQL for data management. We designed modular AI agents to automate seating, hall tickets, invigilation, events, and learning support while ensuring role-based access for admins, teachers, and students.
Challenges we ran into
Major challenges included designing fair seat allocation logic, handling large datasets without performance drops, managing authentication and role permissions, and ensuring smooth communication between frontend, backend, and database systems. Optimizing automation workflows while keeping the system simple for users was also a key challenge.
Accomplishments that we're proud of
Successfully built a working AI-powered academic automation platform from scratch.
Automated key exam processes like seating plans, hall tickets, and invigilation scheduling.
Reduced manual workload by replacing Excel-based operations with smart automation.
Developed a scalable system usable by admins, teachers, and students in one platform.
Designed multiple AI agents to solve real campus problems efficiently.
Built a practical, affordable solution aimed at helping institutions with limited resources.
What we learned
Through this project, we learned how real-world academic systems operate, how automation can reduce workload, and how AI agents can solve practical administrative challenges. We also gained hands-on experience in building scalable apps, managing databases, and integrating intelligent workflows.
