Skip to content
View farhan7727's full-sized avatar

Block or report farhan7727

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

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

Report abuse

Pinned Loading

  1. AI-powered-voice-operated-E-Librarian-system AI-powered-voice-operated-E-Librarian-system Public

    An AI-powered voice librarian that listens to a user, finds relevant books from a local database using LLM-generated SQL, and replies with spoken recommendations.

    Python

  2. BasicRAG BasicRAG Public

    BasicRAG is a modular RAG pipeline built with LlamaIndex and Pinecone. It enables semantic search on local documents using a locally hosted Meta Llama-3.2-3B model to deliver grounded, context-awar…

    Python

  3. Brain-Tumor-Detection-using-ViT Brain-Tumor-Detection-using-ViT Public

    A deep learning application for brain tumor analysis using MRI scans. This tool classifies tumors into four categories (glioma, meningioma, pituitary, or no tumor) with a Vision Transformer (ViT) a…

    Jupyter Notebook 1

  4. Heart-Failure-Prediction Heart-Failure-Prediction Public

    Developed a heart failure prediction model to classify whether an individual has heart failure. Trained using the Random Forest algorithm, leveraging feature scaling and PCA for dimensionality redu…

    Jupyter Notebook

  5. real-time-hand-sign-recognition real-time-hand-sign-recognition Public

    This code aims to recognize hand letters in real time using the LSTM technique.

    Jupyter Notebook

  6. riddhimaBhanja/Osteoporosis-Detection-using-CNN riddhimaBhanja/Osteoporosis-Detection-using-CNN Public

    This repository classifies unlabeled orthopantomogram (OPG) images for osteoporosis using a PyTorch CNN. The private dataset (not included) is split into two age groups and preprocessed for edge en…

    Jupyter Notebook