Automated IP-Secured Attendance Intelligence - AISAI

---

---

Project overview

Automated IP-Secured Attendance Intelligence (AISAI) prevents proxy attendance and removes manual record-keeping overhead by validating one submission per device (IP) inside a controlled Wi-Fi network. Teachers create short, configurable attendance sessions; students submit a registration number from their devices; AISAI validates by IP, aggregates results, computes attendance, and stores semester records securely.

---

Key goals

• Eliminate proxy attendance via IP validation (one submission per device)
• Automated marking and calculations for immediate results
• Intuitive dashboards for teachers and students
• Secure semester-long storage (SQLite3)
• Exportable, accreditation-ready reports

---

Features

• Teacher admin dashboard: start/stop sessions, session duration control, live monitoring.
• Student submission UI: fast single-field submission with live status.
• IP-based validation to avoid duplicate submissions in controlled Wi-Fi.
• Automated aggregation & grade calculation (triggered post-session).
• Export CSV / Excel reports and semester archives.

---

How it works (high level)

1. Teacher starts an attendance session (configurable window, e.g., 15–20 sec).
2. Students on the same controlled Wi-Fi open the client page and submit their registration number.
3. Server captures the requester IP and accepts a single valid submission per IP.
4. Post session, a command/process aggregates results, computes attendance, and appends records to an SQLite database.
5. Teachers download reports or view analytics on the dashboard.

---

System architecture

Modules

• Server (Python + Flask): session control, IP validation, DB ops
• Client (Flask templates): student submission interface
• Admin dashboard: start sessions, monitor, and export

---

Tech stack

• Python (Flask)
• SQLite3
• socket & threading (for local networking logic)
• pandas (data processing)
• Simple templated frontend (HTML/CSS + Flask Jinja)

---

Security & privacy

• IP-based validation works only within a controlled campus Wi-Fi environment.
• Student identifiers are stored securely in a local SQLite database for the semester.
• For privacy and startup protection, the source code is not public in this repository.
• Source code is available on request under NDA for collaborators or evaluators.

---

For recruiters & evaluators

If you'd like to evaluate the codebase, a compiled demo, or collaborate:

• Email: [email protected]
• LinkedIn: https://www.linkedin.com/in/jidne24
  Source review is available under NDA — please reference "AISAI source access" in your message.

---

Developed with ❤️ by Gidne Huda