0xrutvij / twitterclone

iOS Course Assignment: Clone Twitter Application

Hi there 👋

I am Rutvij, a CS grad student at UT Dallas.

My specialization is in Intelligent Systems. Eventually, I would like to pursue a PhD in CS & work as a researcher.

Drop down each section to learn more about me!

Interests ...

My interests are far too wide ranging for me to ever catch up with them. Some of them are:

• Machine Learning, especially Reinforcement Learning
• Logic Programming & AI - automated reasoning!
• Data Science, particulary the statisitcal & mathematical side of it.
• Programming Language Design & Compiler Theory
• Functional Programming - Haskell & Lisp in particular
• Theory of Computation & Algorithm Design
• Numerical Optimizaiton & Computational Geometry
• System Programming - OSes, Databases etc.
• GUI Programming (native apps) - MVC, UI/UX design

And thus I call myself a deluded dilettante!

🔭🌱 I’m currently working on and learning ...

• Implementing the first interpreter in Crafting Interpreters using Python. The implement repo for PyLox.
• Learning Lisp (Scheme) & a new way of looking at fundamentals of our craft from SICP. My notes.
• Learning Go & making practical projects following prompts at Gophercises.
• Grokking C language through the lens of its creators K&R2.

🤔 I'm looking forward to learning these in the near future ...

• Learning Quantum Algorithms and Neural Net Mathematics this Fall!
• Haskell - through a category theoric lens & revisiting LYAH before learning from new resources.
• Reinforcement Learning & Neural Networks in greater depth.

Projects

Artificial Intelligence & Machine Learning

1. Capstone project involving analysis of Transistor Load Pull Data for Qorvo. [Data Analysis]

2. Custom implementation of Decisiton Trees as a part of a graduate ML course. [ML]

3. Contact tracing data analysis [ML]

   • Custom implementations of Bagging & Boosting (adaBoost) ensembles on ID3 trees.
   • Custom implementation of a simple NN
   • Use of various sampling methods and a comparison of their effectiveness at addressing class imbalance.
   • Check out the Project Report for details!

4. Statistical analysis projects using R Language as a part of a grad course. [Statistics]

5. Lane Line Detection: Detecting lane lines on roads & stop signs using Open CV. [Computer Vision]

6. Medial Axist Transform: Medial axis transform using Delaunay triangulations. MAT was used to demonstrate too of its applications, one, to compress shapes by reducing a dimension. Another, a computer vision cross-application to perform pattern matching and find similar shapes using path matching. [Computational Geometry & Computer Vision]

7. Implementation of A* search using Python to solve 8-Puzzle game and comparison with other search methods.

8. A Q&A system using Prolog, which can answer basic questions given an encoded description of a simplified real world environment. [Logic Programming]

9. Flower Images Classification - Transfer learning on trained CNN models to classify flowers.

10. Cheque Perspective Transform - A cheque scanning workflow with amount extraction using HTR.

iOS & GUI App Development

1. Flix: An app that allows users to browse movies from the The Movie Database API. [iOS]
2. TwitterClone: A basic twitter app to read your tweets, compose new tweets, and like + retweet timeline tweets. [iOS]
3. Parstagram: An Instagram clone with a custom Parse backend that allows a user to post photos, view a global photos feed, and add comments. [iOS]
4. Used PyQT as a part of my internship & for my DB course to build a contacts list app using OBDC (CRUD, triggers, text search etc.). [PyQT]

Database Engine

1. An SQLite like DB, named RioDB, implemented as a part of a Database Design course.

C/C++ Programming

1. Few examples created as a part of the coursework for an OS course
2. Few more as a part of an Unix Programming Course.

Cybersecurity: Docker Wordpress vs Kali

• As a part of a Cybersecurity course I took with Codepath, we created an airgapped system to learn and perform pentesting.
• The course initially suggested the use of Vagrant to setup and maintain the VMs for testing (a Kali Linux instance and a WordPress server).
• I replicated the process using Docker, making it easier & faster for first time learners to deploy the test enviroments with minimum fuss.
• Also leveraging the light weight nature of containers to make the process less resource intensive.

HDL Programming

• Built an 16-bit ALU using the Verilog HDL and an interactive simulation Logism.

Stats

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twitterclone's Issues

Project Feedback!

Nice work! This week, we continued to explore how to build apps that use an API (like Twitter). Unlike the movies app, we created a new class called TwitterAPICaller to help us interact with the API. We're also starting to introduce Auto Layout, which is how you make your app work for different phone sizes. Now that you've finished the app for the week, it's good to reflect on a few things:

• Manual segue for the login button. Remember that we couldn't create a segue directly from the login button because we have to check the user's credentials. If they enter the wrong password (or the login fails), you don't want to segue to the next screen.
• UserDefaults. We used UserDefaults to keep track of whether the user was logged in or not. If they were already logged in, we went directly to the tweets screen. UserDefaults is a great place to keep track of things you want to save locally, but not save on the server. For example, if you want to show a popup message one time only, you could use UserDefaults to keep track of whether you've shown the popup message already.
• TwitterAPICaller. Go back to the project and look through this file that we provided. There are some functions related to authentication that you can ignore. Twitter uses OAuth 1.0a for authentication, which is an old standard. Most new APIs will use something similar to OAuth 2. Other than the authentication functions, the class is pretty simple, and you can create something similar to interact with other APIs.

Check out the assignment grading page for a breakdown of how submissions are scored.

If you have any technical questions about the project or concepts covered this week, post a question on our Discussions Forum and mark the question as type, "Curiosity". For general questions email us at, [email protected].

Project Feedback!

Congratulations on finishing the Twitter assignment! Twitter is an example of a RESTful API, and they generally follow the same pattern. It might be interesting to look at other APIs like Yelp, Foursquare, Google, etc. In a company (or your own app), you'll probably be working with a private API, but it'll also be structured like the Twitter API.

• Read more about HTTP requests. The most relevant parts for now are understanding the difference between GET, POST, PUT, and DELETE, and understanding how HTTP caching works.

Check out the assignment grading page for a breakdown of how submissions are scored.

If you have any technical questions about the project or concepts covered this week, post a question on our Discussions Forum and mark the question as type, "Curiosity". For general questions email us at, [email protected].