Abdulhakim Bashir's repositories
financial-analysis-with-llm
The application uses a combination of natural language processing (NLP), and financial analysis techniques to extract, process, and analyze data from uploaded financial documents (Excel format). It provides insights such as transaction summaries, suspicious trends, cash deposit detection, entity recognition, and potential ML/TF activities.
dash-twitter-sentiment
Sentiment analysis for twitter data using Dash visualization framework
AI-Staturdays
Series of project built for AI Saturday, a program focused at learning and sharing knowledge about Machine learning and Artificial Intelligence every Saturday.
pet_image_classification
This project is part of the Udacity Nano degree on AI programming with Python. The purpose is to demonstrate using python to classify pet images on a retrained model. Chosen models are resnet, vgg and alexnet
pdf-chat-with-llm-rag
This project allows you to upload multiple PDF and query the content using LLM and RAG for context-aware conversations based on PDFs.
speechbrain
A PyTorch-based Speech Toolkit
AGiXT
AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
AndroidCardView
Creating a simple Android dashboard using cardview
C3D-tensorflow-py3
Fork hx173149/C3D-tensorflow ,and do some changes to train my own dataset
django-react-auth
Authentication template for your future full stack application
DTrack
Device tracking app
GetRequestAndroid
Getting data from a RESTFULL API in android using Kotlin.
Linear-Regression
Linear regression seems to be the Hello World in machine learning an also one of the simplest ways to help someone understand how machine learning works. In this project, we worked on an Ecommerce data to predict how a factor X affects a factor Y.
Neural_Network_Dimystified
Implementation of neural network using Numpy
PokemoneAndroid
A Pokemon android app that allows users to pickup pokemones on a map.
pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
simple-regression-sklearn
This Jupyter notebook explains how you can use the Linear Regression algorithm to predict house prices based on a trained on boston dataset.
tensorflowjs-mnist
Implementation of deep learning in the browser using Tensorflow JS with a pretrained Keras model. The model predict the label of a hand written digits on a Html Canvas .
tensrfllow-mnist
A feed forward network on MNIST dataset using tensorflow. Train, test, save and load model all using Tensorflow
whisperkittools
Python tools for WhisperKit: Model conversion, optimization and evaluation