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hifsaiftikhar/README.md

Hifsa Iftikhar

Machine learning and Python developer. I build end-to-end ML pipelines, NLP models, and AI agents — from autonomous phishing detection agents with tool-calling and progressive skill disclosure, to fine-tuned sentiment models for Roman Urdu.

Projects

Project Description Tech
Phishing Email Detection Agent Autonomous tool-calling agent that detects phishing emails using progressive skill disclosure, VirusTotal URL scanning, WHOIS domain checking, and prompt injection screening. 99% accuracy on Nazario + Enron dataset. Built for Google x Kaggle 5-Day AI Agents Intensive. Python, Flask, Groq, Llama 3.3 70B, VirusTotal API, Chrome Extension
Roman Urdu Sentiment Bot Sentiment analysis chatbot for Roman Urdu YouTube comments DistilBERT, Streamlit, PyTorch
Parkinson's Disease Detection ML pipeline across 3 UCI datasets with cross-dataset generalization testing scikit-learn, Python
Library Management System Terminal-based library system with OOP and JSON persistence Python
Cafeteria Pay Real-time payment queue simulation with producer-consumer threading, semaphores, and priority scheduling Python
Python Mini Projects ATM simulation, number guessing game, to-do list manager Python
ML Bench Internship Daily ML projects covering data structures, preprocessing, regression, classification, and data analysis Python, scikit-learn, pandas, NumPy

Tech Stack

Python, scikit-learn, PyTorch, HuggingFace Transformers, Streamlit, Flask, Groq API, Llama 3.3 70B, VirusTotal API, pandas, NumPy, threading

Contact

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  1. phishing-email-detector phishing-email-detector Public

    Chrome extension that detects phishing emails in Gmail using Llama 3.3 70B via Groq API and VirusTotal URL scanning. Flask backend. 99% accuracy on Nazario + Enron datasets.

    Python

  2. roman-urdu-sentiment-bot roman-urdu-sentiment-bot Public

    Sentiment analysis chatbot for Roman Urdu YouTube comments using fine-tuned DistilBERT

    Python

  3. parkinsons-disease-ml parkinsons-disease-ml Public

    Parkinson's disease detection using supervised and unsupervised ML across 3 UCI datasets

    Jupyter Notebook

  4. MLB-Internship MLB-Internship Public

    Python projects built during ML Bench internship — covering data structures, file handling, OOP, data analysis, visualization, and machine learning. Updated daily.

    Python