Skip to content
View mohammaditabassumkhatib-oss's full-sized avatar
🎯
Focusing
🎯
Focusing
1 follower · 1 following

Block or report mohammaditabassumkhatib-oss

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
mohammaditabassumkhatib-oss/README.md

💫 About Me:

AIML Graduate.
~ I'm looking to collaborate on building AI Tools and models.
~ I'm currently building a PDF-based AI Study Assistant Tool using a RAG pipeline.
~ The focus is on document ingestion, chunking, retrieval, and grounding LLM outputs in source text.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Azure Angular.js Django Flask Keras Matplotlib mlflow NumPy Pandas PyTorch scikit-learn Scipy TensorFlow Git GitHub Selenium Python Streamlit R Adobe Adobe Illustrator Canva Adobe Photoshop Adobe XD nVIDIA

Pinned Loading

  1. Adaptive-Diagnostic-Engine Adaptive-Diagnostic-Engine Public

    1D Adaptive Testing Engine using Item Response Theory (IRT) | FastAPI · MongoDB Atlas · GPT-4o-mini | Dynamically adjusts GRE question difficulty based on real-time ability estimation

    Python

  2. Electricity_Theft_Detection_using_DNN Electricity_Theft_Detection_using_DNN Public

    Electricity theft detection in smart grids Based on Deep Neural Network — Flask web app with 99% accuracy. Final Year Project.

    Jupyter Notebook

  3. ilm-study-assistant ilm-study-assistant Public

    AI-powered study assistant that lets students chat with their PDFs using RAG. Upload multiple documents and ask questions, get summaries, and extract key concepts instantly.

    Python

  4. 31-days-of-python 31-days-of-python Public

    A 31-day journey to rebuild and strengthen my Python skills for AI/ML engineering.

    Jupyter Notebook