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About me

  • I am currently pursuing a B.Tech Degree in Computer Science and Communication Engineering at KIIT University,Bhubaneswar-751024.
  • My areas of interest include data science, python, AI, and cloud computing.
  • I am passionate about learning new technologies and leveraging them to solve real-world problems.

📫 How to reach me:

   

Feel free to reach out to me if you want to discuss any collaboration or project ideas.

Arpitya kumar singh's Projects

movie_recommendation_system icon movie_recommendation_system

The Movie Recommender System is a Python-based application that utilizes the TMDB Movie Metadata dataset to recommend similar movies based on user input. It employs cosine similarity for calculating movie similarity and provides users with five movie recommendations. The app also fetches movie posters using the TMDB API.

python-weather-project icon python-weather-project

The code fetches current weather information for a user-specified city using the OpenWeatherMap API. It extracts relevant information from the JSON response and displays it to the user, while also writing it to a text file for record keeping. The program allows the user to check the weather and retrieve earlier search records.

simplecalculator.github.io icon simplecalculator.github.io

This is a simple calculator web application built using HTML, CSS, and JavaScript. It allows users to perform basic arithmetic calculations and provides a responsive user interface.

smart-crop-management-system icon smart-crop-management-system

Farmify is a Python-based project designed to help farmers with crop disease prediction, crop recommendation, and fertilizer suggestions. It utilizes machine learning models and Flask for web application development.

theft-monitoring-system icon theft-monitoring-system

The theft monitoring system created on Tinkercad is an innovative solution designed to enhance security in various settings. With its advanced sensors and real-time alerts, it enables efficient detection and prevention of theft, ensuring peace of mind for users and safeguarding valuable assets. Its seamless integration with Security system.

youtube-channel-analysis icon youtube-channel-analysis

The code provides insights into the characteristics of the top subscribed Youtube channels, their categories, and their video count and views. It also shows how to perform data processing and visualization using pandas, numpy, seaborn, and plotly libraries.

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