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docs(sonr): add evidence and press sections to experience and projects

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Prad Nukala
2026-07-03 18:07:19 -04:00
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docs/projects/likely.yml
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@@ -5,12 +5,19 @@ project-url: https://github.com/prdlk/like.ly
skills:
- React Native
- Machine Learning
- TensorFlow
- scikit-learn
- Computer Vision
- Web Scraping
- REST APIs
description: |
- 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.
- 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.
associated-with: ../about/education.yml
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