MD SALMAN SHAH

Full Stack Developer

Passionate Computer Science student with expertise in web and mobile development. Ready to transform ideas into innovative digital solutions.

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About Me

I am a passionate and detail-oriented Computer Science student aspiring to gain my first work experience as a Full Stack Developer. With strong problem-solving skills and hands-on experience in web and mobile application development, databases, and server-side logic, I am eager to apply my knowledge in real-world projects.

Organized and responsible, I continuously seek opportunities to learn and grow as a software developer. My journey includes developing various applications ranging from medical management systems to AI-powered mental health prediction tools.

6+ Projects
9.01 MCA CGPA
10+ Technologies

Skills & Expertise

Programming Languages

C C++ Java JavaScript Python Dart

Web Technologies

HTML CSS Bootstrap jQuery PHP Flask

Mobile Development

Flutter Android Studio Java (Android)

Database & Tools

MySQL GitHub VS Code AI/ML

Featured Projects

Web Applications

Sleek Medical Management Dashboard

Medical Management System

A comprehensive web-based platform for managing medical records, appointments, and inventory with a user-friendly interface.

JavaScript PHP MySQL Bootstrap
Modern Music Streaming Interface

Spotify Clone

A feature-rich music streaming web application with interactive UI and smooth playback functionality.

HTML CSS JavaScript
Professional Portfolio Website Mockup

Portfolio Website

A responsive personal portfolio website showcasing projects and skills with modern UI design.

HTML CSS Bootstrap

Mobile Applications

Clean Medicine Reminder App UI

Medicine Reminder App

A mobile application for scheduling and tracking medication reminders with an intuitive interface.

Java Android Studio
Vibrant Weather App Interface

Weather Detection App

A Flutter-based mobile application providing real-time weather updates with a sleek and interactive user interface.

Flutter Dart

AI/ML Projects

Futuristic Mental Health AI Interface

Mental Health Prediction AI

An intelligent web application that utilizes machine learning algorithms to predict mental health conditions and provide insights.

Python Flask Machine Learning JavaScript

Education Journey

Master of Computer Applications
Brainware University, Kolkata
CGPA: 9.01 | Aug 2023 - Aug 2025
Bachelor of Computer Application
The University of Burdwan
Percentage: 78.89% | June 2018 - June 2021
Higher Secondary Education
Orgram Chatuspally High Madrasha
Percentage: 83.4% | Apr 2016 - March 2018

Awards & Achievements

🏆 1st Best Paper Award – ICSC 2025

Honored to receive the Best Paper Award at the International Conference on Sustainable Computing for Industry (ICSC 2025) for our research: "Advancing Mental Health Prediction with Machine Learning: Methods, Challenges, and Future Directions".

Team: MD Salman Shah, Sumit Kumar, Ajoy Roy, Arghya Ghosh, Sanchita Das
Mentor: Sudip Samanta Brainware University
Special Thanks: MD Moshidur Rahaman and Aliah University for their guidance and support.

Read Published Research

Get In Touch

Let's Connect

📧
Email
salman91shah@gmail.com
📱
Phone
+91 9749681391
📍
Location
Dumdum, Kolkata, West Bengal