Never miss a biometric again. NoGradeDrop is a community-driven, AI-powered attendance notification ecosystem designed to save your grades and your sleep. We combine computer vision, crowdsourcing, and aggressive alarm systems to ensure that when the biometric machine enters the class, you are the first to know.
You are asleep in your dorm. The biometric attendance machine arrives in your 8 AM class. You are about to lose marks.
NoGradeDrop. A platform where students help students. When a peer spots the biometric machine, they upload a picture. Our custom AI verifies it, and our mobile app triggers a loud alarm on your phone (even if it's in Do Not Disturb mode) to wake you up and get you to class.
We don't just trust; we verify.
Custom CV Model: We manually labeled thousands of images to train a robust YOLOv8 model specifically designed to detect biometric machines in a classroom setting.
Transparent Verification: When an image is uploaded, we display the raw model output, complete with bounding boxes and confidence scores, so you know exactly why the alert was triggered.
Poll-Based Alerts: Real-time notifications sent out to all course subscribers immediately upon verification.
The "Loud Alarm" App: A companion mobile application running in the background. If you need a nuclear option, this app triggers a high-volume alarm to wake you up the second attendance is detected.
Leaderboard: We track who contributes the most.
Top Contributors: Students who upload the most verified photos are immortalized in the Hall of Fame. Be the hero your batch needs.
Pre-Scraped Data: We have scraped and indexed all available courses.
Time-Gated Uploads: To prevent spam, photos can only be uploaded during the specific running time of a course.
Personalized Feed: Users subscribe only to their registered courses ("My Courses") to avoid unnecessary noise.
Subscribe: A user logs in and selects their specific courses from our master list.
Spot & Snap: A student in class sees the biometric machine and snaps a photo.
Upload: They upload the photo to NoGradeDrop (only allowed during class hours).
AI Verification: Our YOLOv8 model scans the image. If a biometric machine is detected (bounding box confirmation), the alert is validated.
Notify: The website updates with the verified status.Subscribers receive a push notification/poll.
BOOM: The mobile app triggers the alarm for sleeping users.
Computer Vision: YOLOv8 (Custom trained on manually annotated datasets)
Frontend: [e.g., React.js / Next.js / HTML5]
Backend: [e.g., FastAPI / Node.js / Python]
Mobile App: [e.g., Flutter / React Native / Kotlin]
Database: [e.g., MongoDB / PostgreSQL]