Asiya Tahaseen

I developed a hybrid machine-learning system for phishing URL classification that achieved 95% accuracy. I handled feature extraction, data preprocessing, and model evaluation, and built a real-time interface for URL predictions.

I built a RAG-based chatbot for natural-language questions about PDF documents. It uses LangChain, FAISS, and HuggingFace embeddings to retrieve document content, with Groq API (LLaMA 3) for responses and Streamlit for the interactive app.

During my Artificial Intelligence Internship at Slash Mark IT Solutions, I built an NLP-based plagiarism detection system. It used TF-IDF and cosine similarity to identify duplicate content and highlight matches across document pairs.

My projects also include an AI/ML capstone through the TIH IIT Guwahati Summer School, covering classification, regression, clustering, and sentiment analysis on airline tweets. I’m seeking an entry-level opportunity to apply my programming, data analysis, and AI skills to build innovative and impactful solutions.