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@parkib
parkib
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Prakruti parkib

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parkib/README.md

My name is Prakruti, and I'm interested in engineering and neuroscience. I'm passionate about leveraging machine learning techniques to advance these fields. To achieve this, I'm focused on deepening my understanding of computer science, particularly in areas like algorithms, data structures, and neural networks, to develop innovative solutions at the intersection of these disciplines.


Some Projects That I've been working on: 💫

  • Quote Repository : I've developed a quote repository system designed to assist users in storing and managing inspirational quotes. Users can input and save quotes along with the author's name, their personal opinion, and a rating out of five stars. The repository allows users to view their stored quotes and sort them using a selection sort algorithm, facilitating an organized retrieval. Additionally, users can search quotes based on their rating, filtering by 5 stars, 4 stars, and so on. This system is particularly beneficial for individuals with mental health challenges, providing a personalized collection of motivational quotes for reflection and inspiration.

  • Heart Attack Prediction : I've developed a heart attack predictor using a dataset from Kaggle. This model leverages decision tree algorithms to analyze various health indicators and predict the likelihood of a heart attack. By training on a comprehensive dataset that includes factors like age, cholesterol levels, blood pressure, and lifestyle habits, the model can accurately assess an individual's risk. The decision tree model excels in handling both numerical and categorical data, making it an ideal choice for this predictive task. Inputs are processed to generate a probabilistic output, indicating the chance of a heart attack, which can be crucial for early intervention and personalized healthcare planning.


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  1. pb2csppb2cspPublic

    computer science principles trimester 2 repository ! Repository where all work, documentation, and notes were taken. Contains many reflections and overviews of work completed over the course of the…

    Jupyter Notebook

  2. fishycptfrontfishycptfrontPublic

    Machine Learning Model Tests 🐟 🐟 🐟 Repository where me and my team tested out many frontend UI designs that we could further incorporate into our final Night At The Museum project. Frontend portion…

    SCSS

  3. self-care-frontself-care-frontPublic

    Forked fromjplip/self-care-front

    Frontend Self-Care Repository (deployed on GitHub). Trimester 3 CSP project that made features directed towards helping users create a fitness/lifestyle schedule & tracker.

    SCSS

  4. fishycptbackfishycptbackPublic

    🎣🎣🎣🎣🎣🎣🎣🎣 Backend repository where me and my team built/trained the machine learning models with linear regression and decision tree models. Basis for further incorporation into the Night of the Mus…

    Python 1

  5. self-care-flaskself-care-flaskPublic

    Forked fromjplip/self-care-flask

    Flask Self-Care repository (deployed on Python Flask and AWS). Over the course of trimester 3, worked on individual APIs and implemented various sorting algorithms. Built on machine learning models…

    Python

  6. Mental-Health-TrackerMental-Health-TrackerPublic

    Forked fromisabellehp/tri2

    Mental Health Tracker Frontend (deployed on github). Includes many features which help users track their mental health on a daily basis. To bring awareness about mental health problems and to offer…

    SCSS


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