Hafsa Maryam

At Elevvo Pathways, I implemented machine learning models for regression, classification, and time-series forecasting using financial and retail data. I also built and deployed an SVD and collaborative-filtering recommendation system with an interactive Streamlit interface.

For my ARdent Study final-year project, I led development of an AI learning platform that uses Tesseract OCR and the Gemini 2.5 API to extract and summarize concepts from textbooks. I also integrated a Three.js visualizer and a generative image-to-3D pipeline.

I built a knowledge graph with Neo4j and Llama 3.1 to map concepts and provide adaptive study recommendations. The project brought together full-stack development, generative AI, and contextual learning.

My other projects include an anime recommendation system using NLP and cosine similarity, and Kaffen, a Laravel application with a CMS dashboard and table reservations. At GDSC, I organized technical workshops and supported peers during coding challenges.