docs(cv): add new LaTeX CV templates and supporting source files

documents/sources/projects/likely.yml

@@ -0,0 +1,23 @@
+title: Like.ly
+start: 2017-05-01
+end: 2017-08-01
+project-url: https://github.com/prdlk/like.ly
+skills:
+  - React Native
+  - Machine Learning
+  - scikit-learn
+  - Computer Vision
+  - REST APIs
+description: |
+  - 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