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gupta-mihir/README.md

Mihir Gupta

Creating Apps, Shaping Futures (Mobile App Developer/iOS/Cross Platform)

I'm an experienced iOS developer with a proven track record of independently managing full-cycle app development. Currently serving as the Product Owner and Lead Developer of an educational game for a non-profit start up, associated with Arizona State University, I oversee every aspect of design, development, and deployment using Unity and Swift. My portfolio includes creating impactful solutions like Text A Reminder, a productivity iOS app for small businesses, and collaborating on NGO projects to improve literacy for underprivileged children. Skilled in Agile methodologies, I specialize in crafting user-focused, innovative mobile applications.


🧰 Languages and Tools

Swift

Unity

Firebase

Firebase Git HTML CSS JavaScript NodeJS Python C++ GitHub

🚀 Latest Projects

Spot the Scammer Preview)

Spot the Scammer is a an educational mobile game designed for iOS devices, designed to teach users of all ages how to protect themselves from digital scams. I was the Lead iOS Developer and Product Owner of this app.

Text A Reminder Preview

Text A Reminder is a productivity app designed for small business professionals to manage appointment scheduling and reminders via SMS. Built with Swift and integrated with Firebase and iOS Calendar (EventKit API), this app simplifies client communication with automated reminders sent through iMessage.


🔥 My Stats :

Top Langs

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  1. Sentence_Boundry_Detection_NLP Sentence_Boundry_Detection_NLP Public

    Using the decision tree implementation from the sklearn library, and a training corpus dataset, this program predicts the placement of periods (.) is the testing corpus dataset, by getting fed feat…

    Python

  2. Season-Detector-Android_App Season-Detector-Android_App Public

    Android application made with Android Studio which detects what season it is based on the date you've chosen on a calendar.

    Kotlin

  3. Collocation_Identification Collocation_Identification Public

    Using PMI method and Chi-Squared Method, this program scores bigrams on their probablilty of being a collocation. The top 20 scores are displayed as output for both methods.

    Python

  4. Reversi_NEW Reversi_NEW Public

    C++

  5. Viterbi_Part_Of_Speech_Tagger Viterbi_Part_Of_Speech_Tagger Public

    Python