Muhammad Umar

Portfolio 1. AI Chatbot using Python and Flask Developed a simple AI-driven chatbot using Python, Flask, and Natural Language Processing (NLP) libraries. The chatbot is capable of responding to basic user queries and can be extended with custom datasets for specific domains. This project demonstrates my skills in Python development, Flask web frameworks, and AI application deployment. Tools & Technologies: Python, Flask, NLP, HTML/CSS 2. Data Analysis with SQL Performed structured data analysis using SQL queries to extract insights from large datasets. The project focused on learning SQL operations such as SELECT, JOIN, GROUP BY, and subqueries, which were applied to real-world datasets. This demonstrates my understanding of relational databases and my ability to use SQL for data-driven decision-making. Tools & Technologies: SQL, Python (SQLite, PostgreSQL) 3. AI Application Development with Flask Built and deployed AI-powered applications using Flask as the backend framework. The applications included model integration, REST API endpoints, and user interfaces for interacting with AI models. This showcases my ability to combine AI/ML skills with full-stack development concepts. Tools & Technologies: Python, Flask, REST API, HTML/CSS/JS 4. Generative AI Prompt Engineering Experimented with prompt engineering for Generative AI systems. Developed use cases where carefully designed prompts enhanced the performance and quality of AI outputs. This project reflects my understanding of Generative AI concepts and ability to create meaningful AI-driven solutions. Tools & Technologies: Generative AI, Prompt Engineering, Python