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AKHIL-SAURABH/README.md

💫 Akhil Saurabh

Turning Data Into Intelligence • Building AI Systems That Scale

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⚡ About Me

I am Akhil Saurabh, an AI and Data Science enthusiast passionate about solving real-world problems using intelligent systems.
My work revolves around Machine Learning, Data Engineering, Backend Development, and exploring how technology can scale smartly and efficiently.


🧠 AI & Machine Learning

I specialize in building intelligent models, analyzing data patterns, and implementing end-to-end ML workflows.
From preprocessing to model deployment, I enjoy every step of the ML lifecycle.

Python NumPy Pandas Scikit-learn TensorFlow PyTorch OpenCV Matplotlib Seaborn PowerBI


🖥️ Backend Development

I enjoy creating robust, scalable, and clean backend architectures.
Whether building REST APIs, deploying systems, or designing microservices, I aim for efficiency and clarity.

FastAPI Django REST API

Git GitHub


📚 Computer Science Fundamentals

A solid foundation in computer science allows me to understand systems deeply and solve problems effectively.
These subjects shape my reasoning in algorithms, performance optimization, and system design.

OS DBMS DSA Computer Networks Compiler Design


💻 Coding Profiles

I actively practice data structures, algorithms, and competitive programming to sharpen my problem-solving mindset.

LeetCode HackerRank CodeChef


📊 GitHub Stats

Here’s a quick overview of my coding journey, contributions, and consistency.

aryashah2k


💬 “Code is not just instructions — it is the reflection of logic, creativity, and persistence.”

Feel free to explore my repositories and connect!

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  1. HealthAI-Project HealthAI-Project Public

    AI-powered medical imaging system for multi-disease chest X-ray detection,built with EfficientNet deep learning, a FastAPI backend, and an interactive Streamlit dashboard. Deployed on Render for re…

    Jupyter Notebook 6

  2. CropAI-Project CropAI-Project Public

    CropAI is a full-stack AI system built for smart agriculture. It predicts crop diseases using a MobileNetV2 deep learning model, recommends optimal crops based on soil climate conditions, suggests …

    Jupyter Notebook

  3. HealthSphere-Frontend HealthSphere-Frontend Public

    Modern Next.js frontend for HealthSphere featuring role-based dashboards, appointment booking, bed allocation workflows, responsive UI, and seamless integration with a FastAPI backend—deployed on V…

    TypeScript

  4. PTOML-public-transport-optimization-ml PTOML-public-transport-optimization-ml Public

    A production-style Machine Learning mini project focused on public transport optimization, predicting bus arrival times and crowding conditions using contextual features such as time, route, traffi…

    Jupyter Notebook

  5. HealthSphere-Backend HealthSphere-Backend Public

    Scalable FastAPI backend for a healthcare management platform with secure authentication, role-based access (Admin/Doctor/Patient), appointment scheduling, bed allocation system, AI integration, an…

    Python

  6. SPOTIFY-Music-Analytics SPOTIFY-Music-Analytics Public

    An interactive Spotify music analytics dashboard built with Python, Pandas, Plotly, and Streamlit. The project performs exploratory data analysis on Spotify audio features, genres, and chart perfor…

    Jupyter Notebook