mirror of
https://github.com/prdlk/cv.git
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24 lines
1.3 KiB
YAML
24 lines
1.3 KiB
YAML
title: Like.ly
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start: 2017-05-01
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end: 2017-08-01
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project-url: https://github.com/prdlk/like.ly
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skills:
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- React Native
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- 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.
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- Developed an intuitive user interface by building a cross-platform mobile application using React Native and Expo.
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- Aggregated public Instagram post data via the official Instagram API with OAuth authentication to train the model and optimize prediction accuracy.
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- 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:
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- 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"
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source: https://github.com/prdlk/like.ly
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retrieved: 2026-07-03
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- 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"
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source: https://github.com/prdlk/like.ly
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retrieved: 2026-07-03
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