---
title: "Like.ly"
startDate: "2017-05-01"
endDate: "2017-08-01"
description: "Engineered a predictive analytics tool leveraging TensorFlow and supervised machine learning algorithms to forecast Instagram post engagement and likes."
repo: "https://github.com/prdlk/like.ly"
tags: ["React Native", "Machine Learning", "TensorFlow", "Computer Vision", "Web Scraping"]
---

- Engineered a predictive analytics tool leveraging TensorFlow and supervised machine learning algorithms to forecast Instagram post engagement and likes.
- Developed an intuitive user interface by building a cross-platform mobile application and a cohesive messenger bot using React Native.
- Customized a web scraper to systematically aggregate public user data to train the model and optimize prediction accuracy.
- Integrated a Computer Vision API to analyze visual post content and extract key features for the machine learning pipeline.
