Anuma Web App Anuma is a modern web application designed as a portfolio and interactive hub for AI/ML, Data Science, and Analytics projects. It blends a knowledge platform with a showcase of projects and provides real‑time access to trained models that visitors can explore.

🚀 Features (Planned) Portfolio Showcase – Highlight AI/ML projects with detailed write‑ups and visuals

Interactive Models – Deploy trained models with user‑friendly interfaces for live predictions

Blog/Knowledge Hub – Tutorials, notes, and industry insights

Responsive UI – Optimized for desktop and mobile

Community Engagement – Comments, subscriptions, and social integration

🛠️ Tech Stack (Planned) Frontend: React / Next.js

Backend: Python (FastAPI / Flask / Django)

Model Hosting: TensorFlow, PyTorch, Hugging Face integration

Deployment: Docker, Kubernetes, AWS/GCP/Azure

Database: PostgreSQL / MongoDB

📂 Project Structure (Initial) Code anuma-webapp/ │── frontend/ # React/Next.js UI │── backend/ # API + model serving │── models/ # Trained ML models │── projects/ # Portfolio project files │── blog/ # Tutorials and articles │── static/ # Assets (images, CSS, JS) │── README.md # Documentation ⚡ Getting Started This repository is under development. Setup instructions and deployment guides will be added as the app evolves.

📜 License MIT License – free to use, modify, and distribute with attribution.