
4
4
Pakistan
1 year of experience
I am a dedicated Frontend Developer with a strong interest in building modern, responsive, and user-centered web experiences. She works with HTML, CSS, JavaScript, React, Vite, and Tailwind CSS to create clean interfaces and smooth interactions. Alongside frontend development, she also has growing experience with Node.js and MongoDB, allowing her to work on full-stack features and real-world application workflows. I also know skilled in Python, Generative AI, and various AI development tools, which she uses to build small AI applications, automate tasks, and create intelligent features within her projects. Her blend of creativity, problem-solving, and technical understanding helps her transform ideas into functional, polished solutions. Curious and continuously improving, I enjoys exploring new technologies, building impactful projects, and pushing her skills forward in both web development and AI.

QX Smart Rewards & Analytics Hub is a next-generation engagement and automation platform built for the Qubic ecosystem. It transforms blockchain activity—such as QX purchases, wallet movements, staking events, and contract triggers—into real-time rewards, badges, achievements, levels, leaderboards, and gamified challenges. Powered by EasyConnect, the platform automates cross-platform workflows across Discord, Telegram, X, dashboards, and emails—allowing community growth and engagement without writing code. Users benefit from a highly interactive experience featuring animated dashboards, live analytics, whale alerts, token health scoring, and reward claim actions. The project showcases the power of Qubic + EasyConnect by combining automation, analytics, gamification, and user motivation into one unified, futuristic Web3 platform.
7 Dec 2025

Smartare HR Agent is an advanced AI-powered Human Resources assistant designed to automate and enhance end-to-end HR operations. The system uses large language models, intelligent workflow automation, and smart decision-making to streamline recruitment, employee support, document processing, and internal communication. The agent can screen resumes, answer employee queries, schedule interviews, generate HR documents, and provide insights to help HR departments work faster and more efficiently. Smartare HR Agent reduces manual effort, improves accuracy, and offers real-time support across multiple HR functions. Built with modern AI frameworks and a clean, user-friendly interface, the system aims to empower organizations with an intelligent and reliable virtual HR assistant that operates 24/7. This project demonstrates how AI can transform HR management through automation, efficiency, and personalized assistance.
23 Nov 2025

Theft Detection & Live Location Surveillance AI is a smart security solution designed to prevent theft and monitor assets in real time using artificial intelligence and IoT technologies. The system integrates computer vision models (such as YOLO or OpenCV-based motion detection) to analyze live video feeds for suspicious or unauthorized activities. Upon detecting potential theft or forced access, the system instantly sends smart alerts to the user via app notifications or SMS. In parallel, the project employs GPS-based live tracking using microcontrollers like Raspberry Pi or Arduino with GPS modules to monitor the exact location of the object or person in motion. The combination of AI-powered detection and real-time location surveillance ensures that stolen items or intruders can be identified and tracked instantly. All events are time-stamped and logged, enabling forensic tracking, auditing, or legal evidence. This project is ideal for securing homes, vehicles, delivery systems, and remote infrastructure. The solution is scalable, cost-effective, and easy to deploy with minimal hardware and cloud integration.
8 Jul 2025

AGRO-SCAN is a smart agriculture solution designed to empower farmers through the use of AI, machine learning, and computer vision. Our project aims to address critical challenges in agriculture such as early crop disease detection, soil condition analysis, and timely advisory for improved crop yield. The system allows users (farmers or agri-experts) to upload images of their plants or soil. Using a pre-trained deep learning model, AGRO-SCAN identifies plant diseases or classifies soil health based on texture and visual indicators. Upon detection, the platform provides tailored recommendations, including treatment steps, preventive actions, and optimal farming practices. Key Features: 🌿 Plant Disease Detection via Image Upload 🌱 Soil Health Classification using Computer Vision 📊 Real-time Analytics Dashboard 📍 Multilingual Support for Local Farmers 📱 Mobile-Friendly Interface for Field Use With AGRO-SCAN, we aim to reduce crop loss, support sustainable farming, and empower farmers with AI-driven insights—all in an easy-to-use digital platform.
15 Jun 2025