Learning Data Science, Machine Learning, and Mobile App Development (Flutter). Passionate about exploring cutting-edge technologies and deep-rooting solutions since childhood.
I am a passionate tech enthusiast with a deep-rooted fascination for technology that began in my childhood. This lifelong curiosity inspired me to pursue a degree in Computer Science and Engineering. I love exploring new technologies and constantly expanding my skill set. Currently, my core focus lies in Data Science, Machine Learning, and Mobile Application Development.
Active Builder
ML & Data Science
Flutter Apps
{
"name": "Ashfiq Adnan",
"role": "Researcher & Coder",
"stack": [
"Python",
"C++",
"Dart (Flutter)",
"Java"
],
"interests": [
"Explainable AI (XAI)",
"Medical Image Seg",
"OOP Design"
],
"origin_story": "Deep-rooting tech solutions"
}|Scientific computing, analytical tools, and deep learning framework packages used in research pipelines.
An OOP Java application designed to centralize university communication. Provides a secure platform divided by courses and sections to restrict unauthorized access. Features notice distribution by faculty/CRs and class routine management to eliminate fragmented communication across platforms.
$ javac ClassPilot.java && java ClassPilot
[INFO] Compilation successful...
[OK] Communications portal active.
A terminal-based application simulating a YouTube creator's dashboard. Built using C, it allows users to manage content metrics, view dashboard reports, and access core channel analytics directly from the command line.
$ gcc creator_profile.c -o dashboard && ./dashboard
[INFO] Simulating subscriber metric channels...
[OK] CLI Dashboard rendered successfully.
A functional hardware project designed to measure electrical current accurately. Built utilizing an Arduino Nano microcontroller and integrated with a digital display module for real-time monitoring.
$ arduino-cli compile --fqbn arduino:avr:nano ammeter.ino
[INFO] Flashing binary to ATmega328P...
[OK] Real-time sensor stream operational.
A hardware logic circuit developed to compare two 8-bit digital numbers. Implemented using basic logic gates and hardware components, with LED indicators displaying the output states.
$ iverilog -o comparator_tb comparator.v
[INFO] Loading gate arrays: AND, OR, XOR...
[OK] Waveform output matching logic gates.
Focused on intestinal polyp endoscopic image analysis using the Kvasir_Seg dataset. This deep learning approach integrates Explainable AI (XAI) for higher transparency in medical segmentation.
A Deep Learning-based model designed for early stage Alzheimer's disease classification utilizing clinical MRI datasets to assist automated medical diagnostics.
Developed an automated computer vision framework using a primary dataset to detect and classify litchi leaf diseases, supported by Explainable AI models to interpret classifications.