Skip to content
View abdulraheem05's full-sized avatar

Highlights

  • Pro

Block or report abdulraheem05

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 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

Pinned Loading

  1. Momentum Momentum Public

    Video Finder is a full-stack AI-powered video search system. It allows users to locate specific moments within a video using two independent, high-performance pipelines.

    Python

  2. Agentic-Customer-Care Agentic-Customer-Care Public

    An autonomous support system that uses AI Agents to resolve e-commerce disputes without human intervention, unless necessary. Unlike a basic chatbot, this system uses a Reasoning-and-Action (ReAct)…

    JavaScript

  3. Llama-Index-RAG-Application Llama-Index-RAG-Application Public

    This project implements a Retrieval-Augmented Generation (RAG) system designed for private document querying (like a company handbook or personal notes). The application is built entirely on the Ll…

    Python 1

  4. PSD-Generator PSD-Generator Public

    This project is completely built in Python, which gets the users' prompt and converts it to multi-layered Adobe Photoshop posters (PSD). This uses Gemini API key, for creative planning, and uses FL…

    Python

  5. Sentiment-Analysis-Model Sentiment-Analysis-Model Public

    A binary sentiment analysis model using TensorFlow/Keras that classifies IMDB movie reviews as positive or negative. It uses an Embedding layer for word vectors, an LSTM to capture text sequences, …

    Jupyter Notebook

  6. Solitaire-Card-Image-Detection-Multiclass-classification Solitaire-Card-Image-Detection-Multiclass-classification Public

    A deep learning model using CNNs to classify 53 classes of solitaire playing cards. Built with TensorFlow/Keras, it applies convolution, pooling, and dropout layers for robust feature extraction an…

    Jupyter Notebook