Offline attendance system (Mobile, PC) for education
I am selling the complete Source Code and Exclusive Rights for CAMS, an ultra-secure, 100% offline attendance tracking ecosystem explicitly engineered to eliminate fraud, evasion, and buddy-punching in massive educational centers and universities. Built on a lightweight and robust HTML/WebView architecture, CAMS is seamlessly compiled into highly responsive Mobile and Windows Desktop applications. The Dual-App Ecosystem: CAMS is not just one app; it is a complete environment consisting of two dedicated portals: The Student App: Allows students to securely log their attendance. The Lecturer/Doctor App: A powerful command center for instructors to manage, verify, and monitor attendance in real-time. Zero-Cost, 100% Offline Infrastructure: Forget expensive cloud servers, API limits, or internet dependencies. CAMS operates flawlessly on any Local Area Network (LAN) or even a simple local Wi-Fi Hotspot. This guarantees zero downtime, zero recurring hosting fees, and lightning-fast data processing directly inside the lecture hall. Bulletproof Anti-Fraud & Security Mechanisms: CAMS is heavily focused on security and preventing cheating: Dynamic QR Verification: The student app generates a secure, time-sensitive QR code. The lecturer simply scans it using their app, ensuring the student is physically present. Local Network Syncing: Students can securely push their attendance status over the local network directly to the lecturer's machine. Real-Time Tampering Alerts: The system actively monitors for anomalies. If a student attempts to forge attendance, manipulate the system, or spoof their location, the lecturer’s dashboard immediately triggers a security alert. What is included in the sale? Complete Source Code for the Dual-App system (Student & Lecturer Apps). Ready-to-build code for both Mobile and Windows OS. Full setup, deployment, and configuration documentation.
Project details
Next step: <ol><li data-list="ordered"><span class="ql-ui" contenteditable="false"></span><strong>Transition to SaaS:</strong> Convert the local architecture into a cloud-based subscription model (SaaS) for global scalability.</li><li data-list="ordered"><span class="ql-ui" contenteditable="false"></span><strong>Native Flutter Migration:</strong> Rebuilding the current WebView-based frontend using <strong>Flutter</strong> to provide a 100% native mobile experience, higher frame rates, and seamless integration with hardware features like NFC or biometric sensors.</li><li data-list="ordered"><span class="ql-ui" contenteditable="false"></span><strong>White-Labeling:</strong> The system can be rebranded and sold as a turnkey solution for private tutoring centers, schools, and corporate training hubs.</li><li data-list="ordered"><span class="ql-ui" contenteditable="false"></span><strong>Hardware Integration:</strong> Bundling the software with dedicated low-cost scanning hardware (like Raspberry Pi stations).</li></ol><p><br></p>
For sale
Asking price: $1,400 USD
What's included
Source code, All related design work
Full Technical Documentation (setup guide). 30 Days of Handover Support (via Email/WhatsApp). Ready-to-build Assets for Android & Windows.
Reason for selling
I have successfully validated and stress-tested CAMS in a high-density academic environment at Suez Canal University. I am now looking to secure funds to invest in my next advanced AI-driven research project in the veterinary surgical diagnostics field.
Project metrics
Average Monthly Revenue: Pre-revenue
Average Monthly Downloads: Pre-launch / New project
FlameTV
- plataforma de entretenimento para Android e TV com pareamento de QR.
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