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AYUSH MAHADEO WASE photo

ayushai Goto Github PK

followers: 8.0 following: 6.0 repos: 18.0 gists: 0.0

Name: AYUSH MAHADEO WASE

Type: User

Company: Student

Bio: Aspiring ARTIFICIAL INTELLIGENCE ENGINEER Deep Diving in the Realm of || Machine Learning || Young Researcher || Python Enthusiast || COE || SIH Finalist 2022

Twitter: WaseAyush

Location: Nagpur,Maharashtra,India

Hey!! Great to see you here!

  • 📖 Currently pursuing my Bachelor Degree in Artificial Intelligence from G. H. Raisoni College of Engineering.

  • 🎓 Aspiring Artificial Intelligence Engineer learning about different aspects of AI i.e Machine Learning , Computer Vision , Deep Learning , I visioned to create something of my own that would add meaning to people's life in some way as l believe Al will bring revolution to human kind in positive way......

  • 🧑🏻‍💻 Python enthusiast, programmer & an artist.

  • 💡 Always eager to learn new technologies , self learning is key to progress.

  • 💻 Learning Advance Python.

Apart from coding, find me cycling, wondering nearby lake, in the gym or at my desk sketching stuff. Find out more about me & feel free to connect with me here:

⚡ Tech Stack

🚀 Languages

Python C C++ HTML5

Databases

MySQL SQLite MongoDB Postgres

🧩 Libraries & Framework

Anaconda OpenCV Django DjangoREST FastAPI Flask

🧑🏻‍💻 Tools & Platform

Git VS Code VS PyCharm Heroku Jupyter Notebook Spyder Google Colab Kubernetes

Machine Learning / Deep Learning

Keras Matplotlib NumPy Pandas Plotly mlflow PyTorch scikit-learn SciPy TensorFlow

Others

Docker Kubernetes Power Bi

💻 Workspace

Windows Ubuntu

📈 Stats

🔝 Most used languages

languages

snake gif

AYUSH MAHADEO WASE's Projects

opthalmic-disease-screening icon opthalmic-disease-screening

ODS utilizes deep learning to analyze eye images for diabetes, cataracts, and glaucoma. It's powered by React.js, leveraging VGG19 and ResNet models on Azure for accurate predictions within the app.

the-data-talker icon the-data-talker

"Data Talker: An open-source project using Streamlit and Lang Chain's RAG framework for intuitive, natural language-based data analysis. Explore and converse with your data seamlessly via a user-friendly interface."

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