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Name: Akasukpe Aghoghomena
Type: User
Bio: .NET | Django Rest Framework | Next.js | React JavaScript | TypeScript
Akasukpe Aghoghomena's Projects
breast-cancer-risk-prediction
This project uses three algorithms (logistic regression, decision tree, and random forest) in predicting breast cancer outcomes. The outcomes showed that the Random Forest algorithm had the most accuracy in foreseeing breast cancer disease with a score of 96.491% in the breast malignant growth dataset from Kaggle.
e-commerce-recommendation-system
An e-commerce web application built using django and django-rest-framework, embedded with a content-based recommendation system.
errand-boy
This is a courier delivery service system. Ever since the Covid period there has been an increase in the amount online work, this system aims to follow the trend and allow users search for a proxy that will enable them to get things done from a distance
fast-wallet
This is an e-wallet application with a custom built oauth feature, that allows users easily integrate with its service.
fintrack
A financial management application that let's one log spending for various categories of purchases.
imdb
This is a movie api built modelling IMDB (The popular streaming company).
pysearch
Pip search replacement, this tool uses web scraping to aggregate packages.
rbaccessnext
An implementation of ROLE-BASED access control using Next.js middlewares
repertoire-fe
My portfolio, a web application built using cutting edge tools.
travelbetter
Employing web scraping techniques to search for and aggregate flight information from multiple sources, presenting it to users in a single, user-friendly interface.
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