I am ABDUR RAHMAN A, a recent graduate with a Master's in Computer Applications from B.S. Abdur Rahman Crescent Institute of Science & Technology. During my studies, I completed several impactful projects, including an IoT Security Scanner using Python and Nmap, a CNN-based model for Diabetic Retinopathy detection, and a Blockchain-based Certificate Verification System. I also gained hands-on experience through internships and certifications in Python, AWS, and Machine Learning. My strongest skills include Python, cloud computing, and deep learning frameworks like TensorFlow and Keras. I am eager to begin my career as a Software Engineer, contributing to innovative and secure cloud-based solutions while continuously expanding my technical expertise.
Education
B.S. Abdur Rahman Crescent Institute of Science & Technology
Master of Computer Applications, Computer Applications
2024 – 2026
Projects
IOT DEVICE SECURITY SCANNER
Python
Nmap
Tkinter
Developed a GUI-based IoT Security Scanner tool using Python and the Nmap network scanning tool to assess the security of IoT devices on a network. The application performs key checks such as Ping reachability test, TCP connection check on port 445, port scanning using Nmap, and SMB vulnerability detection.
EARLY PREDICTION DIABETIC RETINOPATHY
TensorFlow
Keras
Pandas
Scikit-learn
OpenCV
Matplotlib
Developed a CNN-based deep learning model using TensorFlow and Keras to detect Diabetic Retinopathy from retinal fundus images, classifying them as either DR detected or No DR. Preprocessed and organized data using Pandas and Scikit-learn with stratified train/validation/test splits, and applied image normalization with ImageDataGenerator.
KIDNEY STONE DETECTION AND PREVENTION SOPPORT USING DEEP LEARNING AND MACHINE LEARNING
TensorFlow
Keras
OpenCV
Scikit-learn
Streamlit
Developed a CNN-based deep learning system using TensorFlow and Keras to detect kidney stones from CT Scan and Ultrasound images, classifying them as Stone Detected or No Stone Detected. Implemented a Machine Learning model using Logistic Regression with Scikit-learn to analyze urine parameters for kidney stone risk prediction and hydration analysis.
SECURE BLOCKCHAIN-BASED CERTIFICATE VERIFICATION SYSTEM
Python
Tkinter
Cryptography
Developed a Blockchain-based Certificate Issuance and Verification System using Python and Tkinter to securely generate, store, and verify digital certificates with tamper-proof blockchain records. Implemented RSA cryptographic techniques using the Cryptography library for secure digital signature generation and certificate authentication.
DISEASE PREDICTION USING SYMPTOMS IN MACHINE LEARNING
Python
Tkinter
Scikit-learn
Pandas
NumPy
Matplotlib
Developed a Machine Learning–based Disease Prediction System using Python and Tkinter to predict diseases from user-selected symptoms with an interactive GUI interface for early healthcare assistance. Implemented multiple Machine Learning algorithms including Random Forest, Decision Tree, Logistic Regression, Naive Bayes, and Neural Networks using Scikit-learn.
Certifications
Certified Python 3.4.3 Training
IIT Bombay Spoken Tutorial · 2025
Deloitte Cyber Security Job Simulation
Forage · 2025
AWS Solutions Architecture Job Simulation
Forage · 2025
Machine Learning with Python (ML0101EN)
IBM Cognitive Class · 2024
PHP and MySQL Training
IIT Bombay Spoken Tutorial · 2024
National Level FDP on Cloud Infrastructure (AWS)
AICTE & Brainovision · 2023
Python 101 for Data Science (PY0101EN)
IBM Cognitive Class · 2023
AI For All – AI Aware & AI Appreciate
Intel & Digital India · 2021
Achievements
Research Paper Presentation
2026
Presented a research paper titled “Kidney Stone Detection and Prevention Using DL and ML” at the International Conference on Emerging Trends in Engineering, Management and Applications (ICETEMA 2K26).
ABDUR RAHMAN.A
MCA Computer Applications graduate from B.S. Abdur Rahman Crescent Institute of Science & Technology
Kumbakonam
About
I am ABDUR RAHMAN A, a recent graduate with a Master's in Computer Applications from B.S. Abdur Rahman Crescent Institute of Science & Technology. During my studies, I completed several impactful projects, including an IoT Security Scanner using Python and Nmap, a CNN-based model for Diabetic Retinopathy detection, and a Blockchain-based Certificate Verification System. I also gained hands-on experience through internships and certifications in Python, AWS, and Machine Learning. My strongest skills include Python, cloud computing, and deep learning frameworks like TensorFlow and Keras. I am eager to begin my career as a Software Engineer, contributing to innovative and secure cloud-based solutions while continuously expanding my technical expertise.
Education
B.S. Abdur Rahman Crescent Institute of Science & Technology
2024 – 2026
Master of Computer Applications, Computer Applications
Projects
IOT DEVICE SECURITY SCANNER
Python, Nmap, Tkinter
Developed a GUI-based IoT Security Scanner tool using Python and the Nmap network scanning tool to assess the security of IoT devices on a network. The application performs key checks such as Ping reachability test, TCP connection check on port 445, port scanning using Nmap, and SMB vulnerability detection.
Developed a CNN-based deep learning model using TensorFlow and Keras to detect Diabetic Retinopathy from retinal fundus images, classifying them as either DR detected or No DR. Preprocessed and organized data using Pandas and Scikit-learn with stratified train/validation/test splits, and applied image normalization with ImageDataGenerator.
KIDNEY STONE DETECTION AND PREVENTION SOPPORT USING DEEP LEARNING AND MACHINE LEARNING
Developed a CNN-based deep learning system using TensorFlow and Keras to detect kidney stones from CT Scan and Ultrasound images, classifying them as Stone Detected or No Stone Detected. Implemented a Machine Learning model using Logistic Regression with Scikit-learn to analyze urine parameters for kidney stone risk prediction and hydration analysis.
SECURE BLOCKCHAIN-BASED CERTIFICATE VERIFICATION SYSTEM
Python, Tkinter, Cryptography
Developed a Blockchain-based Certificate Issuance and Verification System using Python and Tkinter to securely generate, store, and verify digital certificates with tamper-proof blockchain records. Implemented RSA cryptographic techniques using the Cryptography library for secure digital signature generation and certificate authentication.
DISEASE PREDICTION USING SYMPTOMS IN MACHINE LEARNING
Developed a Machine Learning–based Disease Prediction System using Python and Tkinter to predict diseases from user-selected symptoms with an interactive GUI interface for early healthcare assistance. Implemented multiple Machine Learning algorithms including Random Forest, Decision Tree, Logistic Regression, Naive Bayes, and Neural Networks using Scikit-learn.
Skills
Python
AWS
TensorFlow
Keras
Tkinter
Nmap
OpenCV
Streamlit
Scikit-learn
Pandas
NumPy
Matplotlib
Certifications
Certified Python 3.4.3 Training
2025
IIT Bombay Spoken Tutorial
Deloitte Cyber Security Job Simulation
2025
Forage
AWS Solutions Architecture Job Simulation
2025
Forage
Machine Learning with Python (ML0101EN)
2024
IBM Cognitive Class
PHP and MySQL Training
2024
IIT Bombay Spoken Tutorial
National Level FDP on Cloud Infrastructure (AWS)
2023
AICTE & Brainovision
Python 101 for Data Science (PY0101EN)
2023
IBM Cognitive Class
AI For All – AI Aware & AI Appreciate
2021
Intel & Digital India
Achievements
Research Paper Presentation
2026
Presented a research paper titled “Kidney Stone Detection and Prevention Using DL and ML” at the International Conference on Emerging Trends in Engineering, Management and Applications (ICETEMA 2K26).
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