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title : Like.ly
start : 2017-05-01
end : 2017-08-01
project-url : https://github.com/prdlk/like.ly
skills :
- React Native
- Machine Learning
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- scikit-learn
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- Computer Vision
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- REST APIs
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description : |
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- Engineered a predictive analytics tool leveraging scikit-learn supervised regression models (linear regression, SVR, polynomial features) to forecast Instagram post engagement and likes.
- Developed an intuitive user interface by building a cross-platform mobile application using React Native and Expo.
- Aggregated public Instagram post data via the official Instagram API with OAuth authentication to train the model and optimize prediction accuracy.
- Integrated the Microsoft Computer Vision API to analyze visual post content and extract key features for the machine learning pipeline.
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associated-with : ../about/education.yml
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evidence :
- fact : "Repo has 3 stars, 1 fork; README lists contributors Arun Kanamuru, Prad Nukala, Varun Patel; README stack: Eve REST API, MongoDB, SciKit, TensorFlow, React Native"
source : https://github.com/prdlk/like.ly
retrieved : 2026-07-03
- fact : "Code confirms Microsoft Computer Vision API for image-tag features and scikit-learn (LinearRegression, SVR, PolynomialFeatures) for like prediction; React Native 0.46.1 + Expo 19 app"
source : https://github.com/prdlk/like.ly
retrieved : 2026-07-03
