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Ahmad Faisal Mirza's Projects

4-bit-microprocessor icon 4-bit-microprocessor

A 4-Bit Microprocessor with two general purpose registers and nine instructions constructed on simulator.io

alexnet-brevitas icon alexnet-brevitas

A Description of AlexNet written in Brevitas to be quantized into 8 bit floating point numbers.

arabic-transcription icon arabic-transcription

Fine Tuning an Arabic Transcription Model form Hugging Face to perform real time audio transcription from Arabic audio to text.

bitcoin icon bitcoin

Bitcoin Core integration/staging tree

bnn-pynq icon bnn-pynq

Quantized Neural Networks (QNNs) on PYNQ using Dataflow Architecture

brevitas icon brevitas

Brevitas: neural network quantization in PyTorch

covid-detection icon covid-detection

Developed an advanced diagnostic model for lung disease detection from X-ray images, incorporating traditional machine learning and Inception-v3 deep learning, achieving a high accuracy of 96.25%. An additional attention-based Vision Transformer approach further validated the model's robustness with a 92% accuracy.

electionguard icon electionguard

ElectionGuard is a set of open source software components that can be used to create and publish end to end verifiable elections as well create a publishable artifact for ballot comparison audits.

emotion-recognition icon emotion-recognition

A software using OpenCV and Pytorch that performs real time emotion recognition using your front camera

matlab-cnn-tumour-detection icon matlab-cnn-tumour-detection

Convolution Neural Network written in MATLAB using a dataset from Kaggle. Gives upto 93% accuracy! Dataset link: https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset

movie-recommender icon movie-recommender

Using the TMDB 5000 Dataset, built a Movie Recommender including a frontend that outputs 5 similar movies when given a movie.

sign-language-sensor-detection icon sign-language-sensor-detection

This project developed a glove for sign language translation specifically for Pakistani Sign Language. Sensors on the glove track hand and finger positions, with this data fed into an Artificial Neural Network (ANN). The ANN classifies the signs, converting them into spoken audio output. Achieved 98.2% accuracy on the test set.

smoker-nonsmoker icon smoker-nonsmoker

Cleaning and Classification of a group of people, into whether they smoke or not based off given parameters.

tumor-outliner icon tumor-outliner

Short Snippet implementing an algorithm that outlines a brain tumour from an MRI scan in MATLAB.

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