Available for Internship March 2026

Hi, I'm Ahmad Adlan

Information Technology Student | Aspiring Data Analyst

Aspiring Data Analyst & Full-Stack Developer. I build intelligent systems that solve real-world problems. Currently crafting a 24/7 AI-powered attendance system with face recognition.

Ahmad Adlan

Projects & Research

Final Year Project

CObot+ Smart Attendance System

Real-time face recognition attendance system running 24/7 on Raspberry Pi. Automatically detects class schedules, marks students as present/late, and provides analytics dashboard.

80% CPU Reduction
24/7 Automated Operation
3 User Roles
Live face detection overlays
Auto present/late detection
Role-based access control
Analytics & punctuality scores
Next.js 15 React 19 Python Flask Supabase OpenCV Raspberry Pi
CObot+ Attendance Dashboard
Data Visualization

Crime Data Analytics Dashboard

Comprehensive BI dashboard analyzing crime trends in Malaysia (2021-2023) using DOSM data. Identified hotspots in Selangor and proposed five strategic law enforcement initiatives.

Tableau Data Analysis Geospatial
DevOps

Cloud Hosting & Infrastructure

Deploying and managing web applications on Netlify, Vercel, and DigitalOcean. Configured custom domains, SSL certificates, and CI/CD pipelines.

Netlify Vercel DigitalOcean CI/CD

Distinctions & Research

Remarkable Achievements

Dean’s List Awardee

Consistently recognized for Semesters 2, 3, 4, 5, and 6.

Perfect GPA (4.00)

Academic Session 2024/2025 (Semester 2).

Silver Award

IEEE Region 10 HTC Innovation Challenge 2024.

Silver Award

International Final Year Project Competition (I-CPEX) 2023.

Best Paper (Author)

Certificate of Appreciation at RoViSP 2025.

Inspector KS

Commissioned Kor Sukarelawan Polis Siswa Siswi.

CompTIA Data+

Certified Data Analytics Professional.

Publications

Abdul Halim, A. A., et al. (2025). Addressing IoT security challenges through advanced machine learning and encryption. Journal of Informatics and Web Engineering, 4(3), 153–165.

Abdul Halim, A. A., et al. (2025). A comparative evaluation of ESP32, ESP8266, and Raspberry Pi 5 for real-time facial recognition in Cobot+ for smart educational environments. Proceedings of the 13th International Conference on Robotics, Vision, Signal Processing, and Power Applications (RoViSP 2025).

Abdul Halim, A., et al. (2024). Enhancing cyber resilience through the Hikmah of artificial intelligence. In A. Z. Saidin, A. M. Zeki, & N. A. Zakaria (Eds.), Artificial Intelligence & Hikmah (pp. 176–183). Centre for Islamisation, International Islamic University Malaysia.

Abdul Halim, A. (2024). Exploring blockchain technology and Hikmah for securing the Internet of Things (IoT). In A. Z. Saidin, A. M. Zeki, & N. A. Zakaria (Eds.), Artificial Intelligence & Hikmah (pp. 228–235). Centre for Islamisation, International Islamic University Malaysia.

Tech Stack

Data & BI

Power BI Tableau Excel SQL Pandas

Frontend

React.js Next.js HTML/CSS/JS Tailwind CSS

Backend

Python Flask Node.js

Database

Supabase PostgreSQL SQL

IoT/Hardware

Raspberry Pi OpenCV face_recognition

Cloud/DevOps

Netlify Vercel DigitalOcean Linux CI/CD

Get in Touch

Seeking BI/Data Analyst Internship - March 2026
Gombak, Kuala Lumpur