A collection of my completed projects, presented in a user-friendly tabular format within the README file. Each project is accompanied by a concise description, a list of the tools and languages/libraries utilized, and a corresponding repository link for seamless navigation.

FaceDetec: A project for detailed face similarity detection using advanced computer vision techniques. Enhancing security and personal identification with precise facial feature analysis.

This model analyzes facial images to detect the presence or absence of face masks. Using advanced machine learning techniques.

A lightweight, cross-platform, & accurate image sorter with facial recognition capabilities.

😍 Help me get a 💘 date tonight 🌛

This project implements algorithms for detecting and recognizing characters from the Flintstone family using the HOG method along with a sliding window approach.

Lightweight and intuitive package designed to streamline the integration process of dotta biometric service API

This is the last Project in order to obtain the Intel Edge AI Nanodegree from Udacity, the objective is to create an application capable of moving the computer pointer using only the movement from the head and eyes.

Simple WPF MVVM Desktop application for facial detection in real time from web camera via Emgu

Architects secure mobile ecosystem for student community, integrating video lectures, assignments, social features (Group call and in-app chatting features), attendance management and many more. Integrated OpenCV for facial detection, biometric authentication, and implemented OTP authentication with Firebase.

This project was a collaborative effort completed for a university course titled, "Making People Understand Facial Recognition Technologies: Building an AI Application as Didactic Tool".

SynthWomb/Synthia: Python project using Hugging Face Transformers for GPT-2 NLP, TensorFlow for model management, and SDXL-Turbo for image processing. DeepFace predicts gender. Simple CLI offers Text-to-image and Image-to-image operations, with a built-in GAN for AI art.

Create a Facial Emotion Detection APP using Deep Learning

Python library for analysing faces using PyTorch

🪨 Sliding window approach, using CNNs as classifiers for facial detection and recognition in "The Flinstones" 🪨

This application detects whether listings of paired pictures are of the same person. It is most often used to help ensure the same person is being interviewed across waves or to detect when someone enrolls more than once in a program.

An intuitive Python-based face recognition system that identifies individuals in images using a database of facial images. Perfect for security and personal projects!

Wahl-O-Selfie v2 is using facial recognition to categorize human faces into (german) political partys similar to "Wahl-O-Mat".

Wahl-O-Selfie v1 is using a self-trained machine learning model which categorizes human faces into (german) political partys similar to "Wahl-O-Mat".

A service that processes images to align detected faces, and return the aligned face as a base64-encoded string.