Hi! I'm Akil Mir

About Me

Hello! My name is Akil Mir, and I'm a 20-year-old student with an unquenchable passion for Computer Science. Currently pursuing my undergraduate degree with a concentration in artificial intelligence, I'm on a journey towards mastery in this dynamic field. I've also charted a graduate pathway program, expecting to graduate with a master's degree in Computer Science by May 2026.


Beyond academics, I find immense joy in exploring the intricacies of algorithms, programming languages, and emerging technologies. Whether it's deciphering complex problems or crafting innovative solutions, I thrive on the challenges that computer science presents.


With each line of code I write, I'm driven by a desire to make meaningful contributions to the ever-evolving landscape of technology. Join me as I embark on this exhilarating adventure, fueled by curiosity, determination, and a relentless pursuit of knowledge.

Skills

Languages

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Java

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Python

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C

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Unix

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HTML

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CSS

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Javascript

Tools

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Git/Github

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VSCode

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React

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Scikit-Learn

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Matplotlib

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Pandas

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JavaFX

Projects

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MediaFind

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  • Developed a software application utilizing the JavaFX library, which receives a book's title as input and generates a comprehensive list of media related to the author of the book, encompassing various forms of media, including movies, video games, and additional novels authored by the same writer.

  • The application harmoniously integrates two RESTful JSON APIs, first querying user input into the Open Library API to retrieve author information and then using the Open Library output to query the IMDb API, thereby generating a comprehensive list of media and pertinent details such as release dates and posters related to the respective media.

  • Incorporated threading within the program to decrease application runtime, enhancing the user experience with improved efficiency.
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Disease Prediction Model

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  • Created a Python program leveraging the Scikit-Learn library to implement diverse classification algorithms, facilitating accurate diagnosis predictions based on numerical data extracted from blood tests.

  • Processed a ‘Multiple Disease’ dataset from Kaggle containing features like Cholesterol, Blood Pressure etc. and labels such as Heart Disease, Diabetes and many more using Pandas. Used the Matplotlib and Seaborn libraries to visualize the data in order to accurately choose the appropriate algorithms.

  • Generated Machine learning models for the K Nearest Neighbors, Support Vector Machine, Logistic Regression, Random Forest and Gaussian Naive Bayes algorithms and displayed the model’s accuracy score.
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Anime Library

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  • Crafted a responsive ReactJS application allowing users to input a show title, generating a comprehensive display of matching results. This includes essential details like show title, poster image, release year, and category, ensuring a seamless browsing experience.

  • Utilized the MyAnimeList API to dynamically retrieve and generate results by querying the input received from the search bar.

  • Collaborated with another developer using a Git integrated environment through Visual Studio Code to manage our source control.