A developer and a data researcher, making responsive web designs to building datasets and transforming complex data into clear insights.
I believe code should be interactive, design should be responsive, and data should be used to build intelligent, real-world solutions.
AI-powered navigation system that can assist users in navigating through a campus. The system uses speech recognition to accept natural language queries and provides spoken directions using text-to-speech (TTS) synthesis. Speech Recognition, NLP Text-to-Speech (TTS) AI Pathfinding using Algorithms
Apache Spark, Python, Jupyter
Spark SQL + performance comparison vs pure Python + Benchmarking + Visual Analytics. ETL pipeline, performance graphs, code repo, report, presentation
Install Spark, read dataset, basic transformations. Implement ETL pipeline (map, filter, reduce, groupBy)
Final testing.
An AI replier tool, which works smartly as a Chrome extension on platforms like LinkedIn, Gmail, and other chat or social media sites. This extension connects to a web app and it uses AI to generate smart replies to messages and offers three pricing plans: Free, Pro, and Enterprise, each with increasing features and capabilities.
This system provides a centralized platform where events can be created, managed, and monitored easily. Helps students stay informed about upcoming events like like seminars, workshops, competitions, and society functions , allows societies to manage their activities smoothly, and enables administrators to control and supervise all event- related tasks.
Beyond the 5-Star Rating: Uncovering the Hidden Psychology of FJWU Students.
The University Complaint Management System (UCMS) for FJWU is a web-based tool that helps manage complaints from students, faculty, and staff. Its main purpose is to offer a centralized platform to report, track, and resolve complaints quickly and efficiently.
This research has confidential data in it, so most of the part will not be displayed here.
A Speed Typing Test Web App to fasten your typing speed. My first project in react.js where I applied all concepts from simple to complex ones , and made it working at it's best. Play your first game on typeathon and know your speed and typing accuracy in seconds.
Also explore exciting customizable modes of your choice to explore your inner typing cheetah.
Fontbook is a book filled with fonts that integrates with the Google API in React.js. It is a go-to resource for exploring, bookmarking, and sharing a curated collection of Google Fonts.
With an intuitive interface, users can quickly preview fonts, view detailed information, and bookmark their favorites for easy access later. The built-in clipboard feature allows you to effortlessly copy font links, making it easier than ever to integrate beautiful typography into your designs.
M.Yasmeen is a online Clothing Store that fetches real time products from the database. App provides role based authorzation towards the app usage. This app is built with a focus on user experience, it features dynamic product displays and smooth navigation.
Whole app is developed in react.js with the help of firebase hosting, authentication and database.
Assisted a PhD researcher in Data Management and Digitization for a research project in Data Cleaning and Pre-processing. Ensured Data Integrity by accurately migrating data from physical survey forms into structured digital formats (Excel/CSV). Standardized data sequences to ensure the dataset was ready for high-level computational analysis.
Worked on one of the official projects of Code for Pakistan, where I translated a web page’s UI into clean, responsive, and well-structured frontend code, and deployed the project live.
Manually Collected and prepared a corpus of over 7,000 Sindhi sentence pairs.
Validated Manual paraphrasing with native Sindhi speakers.
Trained and tested machine learning models for paraphrase detection. F1 score of 84%. Benchmarked our corpus against datasets in other language. Evaluated the fine-tuned model on Indonesian and English paraphrase datasets in a zero-shot setting.
This Reserch project investigates whether Computer Science students at Fatima Jinnah Women University (FJWU), Rawalpindi are genuinely job-ready beyond their academic performance using survey data.
The project combines data engineering, statistical analysis, Natural Language Processing (NLP), and an interactive analytics dashboard to produce measurable insights into the skills gap between academia and industry expectations.
Beyond the 5-Star Rating: Uncovering the Hidden Psychology of FJWU Students.
• Worked on survey design, data preprocessing, analytical reporting, and research presentation.
• Applied NLP, thematic analysis, and data visualization techniques on qualitative student feedback.
• Research focused on behavioral analysis and sentiment analysis of student evaluation biases at FJWU.
This research has confidential data in it, so most of the part will not be displayed here.