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Atharv-AC/README.md

Hi, I'm Atharv 👋

Student | Python Developer | Machine Learning Enthusiast

I enjoy building machine learning applications and exploring how models can be deployed through APIs and web applications.

My interests include:

  • Machine Learning
  • Python Development
  • Backend Development
  • API Design
  • Docker
  • System Design

I like working on projects that combine machine learning, software development, and deployment.


🚀 Featured Projects

🚗 Car Price Prediction — End-to-End ML Application

A machine learning application demonstrating the complete workflow from model training to deployment.

Tech Stack

Python • Scikit-learn • FastAPI • Docker • MySQL • SQLAlchemy

🔗 Live Demo

https://car-price-ml-system.onrender.com/

🔗 GitHub Repository

https://github.com/Atharv-AC/Car-Price-ML-System

Key Features

  • Structured machine learning pipeline
  • Model version management
  • FastAPI prediction API
  • Prediction logging with MySQL
  • Docker-based deployment
  • Modular project architecture

🏠 House Price Prediction — ML Application

A machine learning project focused on deployment, testing, and maintainable architecture.

Tech Stack

Python • Scikit-learn • FastAPI • Docker • Pytest

🔗 Live Demo

https://house-price-ml-system.onrender.com

🔗 GitHub Repository

https://github.com/Atharv-AC/house-price-ml-system

Key Features

  • Training and inference workflow separation
  • Model version management
  • FastAPI-based predictions
  • Docker containerization
  • Automated testing
  • Interactive prediction interface

📂 Other Projects

🎓 Student Pass/Fail Prediction

Classification project using Logistic Regression to predict student outcomes.

📊 Reading Score Prediction

Regression project with an interactive Streamlit dashboard.

🔗 https://predict-ui-dashboards.streamlit.app/


🏗 Concepts I've Explored

  • Training and inference workflows
  • Model version management
  • API-based model serving
  • Prediction logging
  • Containerized applications
  • Reproducible ML pipelines
  • Software testing

🧠 Skills

Programming

  • Python

Data Analysis

  • Pandas
  • NumPy
  • Matplotlib

Machine Learning

  • Scikit-learn
  • Feature Engineering
  • Model Evaluation
  • Regression & Classification

Backend & Deployment

  • FastAPI
  • SQLAlchemy
  • Docker
  • MySQL
  • REST APIs
  • Pytest

🛠 Tools & Technologies

Python Scikit-learn FastAPI Docker MySQL Pandas NumPy


📈 Highlights

  • Built and deployed machine learning applications
  • Developed APIs for model serving
  • Worked with Docker and SQL databases
  • Implemented testing and version management
  • Created interactive web applications for predictions

⭐ Interested in machine learning, backend development, and building useful software.

Pinned Loading

  1. Car-Price-ML-System Car-Price-ML-System Public

    End-to-end machine learning application for used car price prediction with FastAPI, MySQL, Docker, and prediction logging.

    Python 1

  2. UI-Dashboards UI-Dashboards Public

    Student Performance Dashboard built with Python, SQLite, and Streamlit.

    Python

  3. machine-learning-projects machine-learning-projects Public

    A collection of machine learning projects including preprocessing, training, evaluation, and visualization using Python.

    Python 3

  4. house-price-ml-system house-price-ml-system Public

    Machine learning house price prediction system with training pipeline, REST API, tests, and Docker deployment.

    HTML 1