Projects

Personal, academic and hackathon projects, from deep learning research to full-stack web and mobile apps.

  • DefTrack screenshot
    Bachelor thesis project

    DefTrack

    Developed a semantic segmentation model to track deforestation based on satellite imagery together with a web client to help track areas of interest using this deep learning model.

    • Python
    • TypeScript
    • FastAPI
    • PostgreSQL
    • Next.js
    • AWS
    • TailwindCSS
    • Machine Learning
    • TensorFlow
    • Deep Learning
  • My E-Doctor screenshot
    Best React App Winner Project at Unihack in 2023

    My E-Doctor

    Developed a multifaceted application, offering two main functionalities: eye vision testing using advanced computer vision algorithms and medical query assistance using the OpenAI API.

    • Python
    • Java
    • TypeScript
    • Flask
    • Next.js
    • Spring Boot
    • MongoDB
  • Snapcat screenshot
    Internship project

    Snapcat

    Developed a Next.js web application designed to track and manage homeless cats in Cluj-Napoca. The app integrates interactive mapping features to mark zones based on the sterilization status of the cats and includes functionalities for user assignment and documentation, leveraging Auth0 for authentication and TypeScript for robust, scalable code.

    • TypeScript
    • Next.js
    • Node.js
    • Auth0
    • MongoDB
  • TasteNoWaste screenshot

    TasteNoWaste

    Developed an Android application for managing purchased products, by scanning barcodes, that shares data by computing statistics using a web page for the waste materials proportion in the city of Timisoara.

    • Java
    • JavaScript
    • Android
    • Firebase
    • React.js
  • SpendWise

    SpendWise

    Developed a React.js web application together with a .NET Core API to help users track their expenses by scanning receipts and extracting data from them using OCR technology.

    • TypeScript
    • C#
    • React.js
    • .NET Core
    • SQL Server
    • OpenAI