amunipelumi
Backend Developer with expertise in Django, FastAPI, DjangoREST and many other backend tools. I am passionate about building for scale and sustainability.
Pips CatchersRemote
Pinned Repositories
ems-project
A robust event management application built with modern architecture for extensibility and scale.
fruit-info-ai
Fruit Info AI is a machine learning-powered application that identifies various fruits and provides detailed health benefits for each one.
api-backend
Building a CRUD application using FastAPI and PostgreSQL with a couple of tools and libraries.
crm-app
Basic CRM application for creating, reading, updating and deleting records (CRUD). Built with Django.
human-emotion-detection
ONNX model classifying images of human faces into Angry, Happy or Sad.
dog-breeds-ai
Computer vision classifier of dog breeds using PyTorch.
backend-dev-django-rest
Building a Django REST API and utilizing external search API (algolia) for robustness.
blog-generator
django-intro-and-auth
Getting started with django , working with templates and how to intuitively authenticate web app users.
foodvision-101
ML classification project using EfficientNetB2 on Food101 dataset.
amunipelumi's Repositories
amunipelumi/ems-project
A robust event management application built with modern architecture for extensibility and scale.
amunipelumi/fruit-info-ai
Fruit Info AI is a machine learning-powered application that identifies various fruits and provides detailed health benefits for each one.
amunipelumi/ml-training
My notes and metrics for machine learning models built.
amunipelumi/api-backend
Building a CRUD application using FastAPI and PostgreSQL with a couple of tools and libraries.
amunipelumi/django-intro-and-auth
Getting started with django , working with templates and how to intuitively authenticate web app users.
amunipelumi/blog-generator
amunipelumi/crm-app
Basic CRM application for creating, reading, updating and deleting records (CRUD). Built with Django.
amunipelumi/dog-breeds-ai
Computer vision classifier of dog breeds using PyTorch.
amunipelumi/human-emotion-detection
ONNX model classifying images of human faces into Angry, Happy or Sad.
amunipelumi/backend-dev-django-rest
Building a Django REST API and utilizing external search API (algolia) for robustness.
amunipelumi/yolo-v5-object-detection
Multiple detection of commonly seen objects such as Persons, Bicycles, Cats or Dogs. Utilizing YOLO and OpenCV, final inference model is ONNX format.
amunipelumi/foodvision-mini
ML workflow for a classification model built for pizza, steak or sushi.
amunipelumi/foodvision-101
ML classification project using EfficientNetB2 on Food101 dataset.