Sameer Nasir

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IntelliTrain – Custom ML Model Training Platform

Oct 2024 - Jun 2025 (9 months)

IntelliTrain is a Final Year Project developed as part of the BS Software Engineering program at the University of Central Punjab. It is a web-based application that simplifies the process of training machine learning (ML) models directly in the browser using TensorFlow.js. The platform allows users to upload custom datasets, define labels, and train models interactively without writing a single line of code. IntelliTrain empowers students, educators, and enthusiasts to explore ML with ease. The core objective was to create an intuitive, accessible, and real-time ML training environment that removes technical barriers. Many beginners struggle to learn ML because existing tools require extensive programming knowledge. IntelliTrain solves thi

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Intelligent Traffic Violation Detection System

Oct 2023 - Jan 2024 (4 months)

I’m pleased to share a recent project I’ve been working on — a machine learning–powered Traffic Violation Detection App designed to enhance urban road safety through real-time monitoring and automated detection. 🔧 Project Overview This system leverages computer vision to identify and log common traffic rule violations such as: • Signal jumping • Lane violations • Wrong-way driving 🧠 Key Technologies • Python, OpenCV, TensorFlow/Keras • Flask (for backend API) • SQLite/MySQL for data logging 📈 Features • Real-time video feed analysis • Automated evidence capture (image, timestamp, location) • Structured violation logging and dashboard-ready output 🎯 Objective To explore how AI and automation can be used to build smart city solutions that

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MachineLearningApp

As part of my latest project, MachineLearningApp, I developed a comprehensive machine learning application designed to streamline workflows for classification and detection tasks. I used TensorFlow as the core machine learning framework, integrating it with a user-friendly interface to perform tasks such as image classification, object detection, flower classification, and real-time object detection. The key technologies I worked with include: Java and JavaScript: For handling both back-end processing and interactive front-end interfaces, ensuring smooth user interactions. Firebase: Utilized for authentication and real-time data management, supporting user registration and cloud-based synchronization. TensorFlow: Implemented to power the ma

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CoffeeTastic

CoffeeTastic is a comprehensive software solution designed to optimize database management for coffee shops. The system enables customers to conveniently place orders online, view menu items with corresponding prices, and facilitates employee communication by allowing them to email the owner regarding their availability. Additionally, CoffeeTastic streamlines supplier interactions by offering order tracking capabilities. The project’s key objectives are to establish a high-quality coffee franchise while enhancing the overall customer experience.

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Plagiarism Checker

A Plagiarism Detection System is designed to identify instances of plagiarism in written content. It works by comparing the user’s input against various sources to detect similarities. When plagiarism is found, the system provides a notification and calculates the percentage of unoriginal content. This tool is highly beneficial for educational institutions and individuals, helping to ensure the authenticity and originality of submitted work.

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