Skip to content
View Mratashnejad's full-sized avatar
:electron:
THINK OUT OF THE BOX
:electron:
THINK OUT OF THE BOX
12 followers · 67 following

Block or report Mratashnejad

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Mratashnejad/README.md

Fullstack Developer

Next.js - Nest.js - React.js - Node.js - Postgres - MongoDB - GraphQl - SQL server - Docker - Redis - Microservices

Profile Views

GitHub Trophies

🔭 I’m currently working on Gtnelu and personal website AliAtish.com
🌱 I’m currently learning Next.js
🤝 I’m looking for help with AI
👨‍💻 All of my projects are available at GitHub
💬 Ask me about Node.js - Next.js
📄 Know about my experiences LinkedIn

Connect with Me

Personal Web

Pinned Loading

  1. python_Advance_project python_Advance_project Public

    This repository is a collection of learning materials and advanced Python projects created by @Mratashnejad. The projects cover a range of topics and are intended to help users develop their Python…

    Jupyter Notebook

  2. Melbourne-Housing-Predicting-Price Melbourne-Housing-Predicting-Price Public

    Melbourne real estate is BOOMING. Can you find the insight or predict the next big trend to become a real estate mogul… or even harder, to snap up a reasonably priced 2-bedroom unit?

    Jupyter Notebook

  3. Face-Mask-Detection Face-Mask-Detection Public

    Forked from balajisrinivas/Face-Mask-Detection

    Detecting face masks using Python, Keras, OpenCV on real video streams

    Python 1

  4. Happy-Sad-ClassificationAiModel Happy-Sad-ClassificationAiModel Public

    This project aims to build an AI model capable of classifying images as happy or sad faces. The model is trained using nearly 2,000 portrait pictures from Google search results.

    Jupyter Notebook 1 1

  5. Car-Detection-By-Brand-using-CNN Car-Detection-By-Brand-using-CNN Public

    a data set over 300 brand car into kaggle

    Jupyter Notebook