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π—›π—²π˜† π˜π—΅π—²π—Ώπ—² ;)
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π—›π—²π˜† π˜π—΅π—²π—Ώπ—² ;)
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harshaljanjani/README.md

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A 3rd Year Computer Science Major, Who Likes To Solve Problems Revolving Around Data Using Machine Learning And Artificial Intelligence

viciadoemcodar

πŸ’« About Me:

  • πŸ”­ A Passionate App-Developer And Machine-Learning Enthusiast. Currently Working On "Reflective." And "Kheti" In Flutter.
  • πŸ‘― I’m Looking To Collaborate With Like-Minded Developers, And Up-Skill In The Fields Of Web Development And Data Science.
  • πŸͺ΄ Currently Building Projects In Flutter, Apart From Cloud-Native Full-Stack Web Applications using JavaScript And Machine Learning And Data Science Projects.
  • πŸ“« Reach Me At harshaljanjani@gmail.com.
  • πŸ‘€ Fun Fact: I Like To Play Chess, And I Also Play The Piano.

🌐 Socials:

Instagram Stack Overflow LinkedIn

πŸ’» Tech Stack:

Flutter Azure Firebase C C++ Dart JavaScript CSS3 HTML5 NumPy Python Pandas scikit-learn TensorFlow Plotly Flask MongoDB NodeJS JWT Express.js Docker React Redux Bootstrap Selenium Postman Trello

πŸ’« Wakatime API Stats:

πŸ“Š GitHub Stats:




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  1. CounselAI/CounselAI-application CounselAI/CounselAI-application Public

    A Companion App for CounselAI: Written in Flutter and Go

    Dart 1

  2. Kheti Kheti Public

    Agritech Application: Flutter, TensorFlow, and Firebase Integration for Real-Time Geolocation-Based Crop Recommender System Using Random Forest Classification.

    Dart 2 1

  3. Reflective. Reflective. Public

    Mental Companion Application: Flutter and Firebase MLKit Integration with Image Processing Using an Artificial Neural Network.

    Dart

  4. ModelVault ModelVault Public

    A Collection of Some of My 2021-22 Starter Machine Learning and Deep Learning Project Notebooks and Web Scrapers Built in Selenium, Scrapy, and Splash.

    Jupyter Notebook

  5. YantraHack-TeamDassh/Dassh-ml-deployment YantraHack-TeamDassh/Dassh-ml-deployment Public

    Transfer Learning over a CNN Model with Grad CAM for Product Anomaly Detection, with a Comparative Analysis between LightGBM and LSTM Models for Demand Forecasting and Volume Prediction

    Jupyter Notebook 1