Hi, I'm
Mehnaz Bibi
React Developer
Undergraduate student at University of Mianwali and AI Intern at NTIS, Islamabad. Passionate about AI, web development, and mobile applications.
Hi, I'm
React Developer
Undergraduate student at University of Mianwali and AI Intern at NTIS, Islamabad. Passionate about AI, web development, and mobile applications.
A sophisticated AI agent that automates the job application process from CV analysis to application tracking. The system understands user goals, creates execution plans, and uses tool calling to search jobs, match CVs against job descriptions, rank opportunities, identify skill gaps, generate customized cover letters, provide interview preparation, and track application status with analytics.
A lightweight AI agent that allows users to control basic desktop/system functions using natural-language commands. The system uses tool calling to execute 12 core operations including volume control, brightness adjustment, application management, screen capture, and system information retrieval. The AI agent understands user intent, selects appropriate tools, and executes actions with built-in safety validation.
A sophisticated web application that combines Retrieval-Augmented Generation (RAG) with modern AI capabilities to provide intelligent document analysis and learning assistance. The system allows users to upload PDF documents, ask questions about their content, generate learning roadmaps, and create quizzes on any topic using Google's Gemini AI.
AI Context Keeper is an AI-powered developer assistant that analyzes software projects, understands code structure and documentation, and preserves development context using Retrieval-Augmented Generation (RAG). It combines FastAPI, React, ChromaDB, Sentence Transformers, and Google Gemini AI to provide semantic code search, context-aware project insights, and an intelligent chat interface for exploring codebases.
Developed a Python-based chatbot using Flask that suggests food recommendations according to the user's mood and preferences. Designed the system to provide personalized food suggestions through an interactive conversational interface.
Developing a mobile platform that enables users to exchange skills across Pakistan by connecting learners and experts from various domains. Implemented an AI-powered matching algorithm to intelligently pair users based on the skills they offer, the skills they wish to learn, and their geographical proximity. Designed an intuitive and user-friendly UI/UX featuring user profiles, skill listings, and an in-app messaging system for seamless interaction.
An AI-powered voice-based medical receptionist that communicates with patients through natural voice conversations. The agent handles administrative tasks such as appointments, doctor availability, patient registration, and clinic information. Uses Whisper for speech-to-text, Gemini Flash for intent detection and tool calling, FastAPI for backend operations, SQLite for database management, and Piper TTS for text-to-speech responses.
Working as an AI Intern at NTIS, Islamabad. Gaining practical experience in AI and Machine Learning concepts. Working on AI-based matching systems and integration with pre-built AI models.
Currently pursuing undergraduate degree. Focusing on Computer Science and AI-related courses. Actively learning and implementing modern technologies.
Completed FSc from Indus Model Girls Higher Secondary School, Mari Indus. Built strong foundation in science and mathematics.
Completed Matriculation from Government Girls High School, Kalabagh. Developed strong academic background.