Codescraftsman

Private Data Science Portfolio

Welcome to the Codescraftsman repository! This is a private personal project designed as a comprehensive portfolio showcasing Data Science, Machine Learning, and Software Development skills. It includes project pages, analytics dashboards, machine learning models, and a personal chatbot (EthanicBot) using modern AI and Django technologies.

🌐 Project Structure Overview

codescraftsman/
├── manage.py
├── codescraftsman/
│   ├── __init__.py
│   ├── settings.py
│   ├── urls.py
│   ├── wsgi.py
│   ├── asgi.py
├── landing/
│   └── templates/landing/index.html
├── personal/
│   └── templates/personal/
│       ├── index.html
│       ├── bio.html
│       ├── cv.html
│       ├── mission.html
│       ├── vision.html
│       └── values.html
├── analytics/
│   └── templates/analytics/index.html
├── machinelearning/
│   └── templates/machinelearning/index.html
├── services/
│   └── templates/services/index.html
├── testimonials/
│   └── templates/testimonials/index.html
├── about/
│   └── templates/about/index.html
├── ethanicbot/
│   ├── langchain/
│   │   ├── retriever.py
│   │   ├── agent.py
│   │   └── prompt.py
│   └── templates/ethanicbot/chat.html
├── ethanicbot_updater/
├── templates/
│   ├── base.html
│   └── partials/
│       ├── top_nav.html
│       ├── side_nav.html
│       └── footer.html
├── static/
│   ├── css/
│   ├── js/
│   └── img/
└── media/

📈 Features

Landing Page: Professional intro to the portfolio.
Personal Section: Bio, CV, Mission, Vision, Values.
Analytics: Dashboards, Excel cleanup, SQL reporting.
Machine Learning: Models for regression, classification, NLP, and clustering.
Services: Offered services description.
Testimonials: Client testimonials.
About: Project and personal background.
EthanicBot: AI-powered chatbot using LangChain and Hugging Face integrations.
Real-time updates: EthanicBot's background tasks with Celery and Redis.

🚀 Tech Stack

Backend: Django 4.2
Frontend: HTML5, CSS3, JavaScript
AI & ML: LangChain, Hugging Face Transformers, FAISS, Sentence Transformers, PyTorch
Asynchronous Tasks: Celery + Redis
Deployment: WSGI/ASGI ready

🖋️ Installation

Clone the repository:

git clone https://gitfront.io/r/Thimethane/ucyPJ4GgME7t/codescraftman.git
cd codescraftsman

(Optional but recommended) Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

Install all dependencies:
```
pip install -r requirements.txt
```
Configure your environment variables if necessary.
Run migrations:
```
python manage.py migrate
```
Start the development server:
```
python manage.py runserver_with_celery
```

📁 Requirements

Django>=4.2,<5.0
langchain>=0.2.2
langchain-community>=0.3.21
langchain-huggingface>=0.0.1
faiss-cpu>=1.10.0
numpy==1.26.4
tiktoken>=0.5.1
transformers>=4.37.2
torch>=2.2.0
sentence-transformers>=2.2.2
requests>=2.31.0
celery
redis
python-dotenv
channels
channels-redis
django-celery-beat
django-celery-results
joblib

🔍 Notes

Private repository: This portfolio is intended for personal showcasing and is not open-source.
Environment Variables: Remember to configure .env for secret keys, Redis URL, database credentials, etc.
Chatbot: EthanicBot uses LangChain agents with local FAISS vectorstore.
Async tasks: Celery is configured for background updates for EthanicBot embeddings.

🔧 Future Improvements

Integration with Docker.
Unit and integration tests.
Advanced NLP pipelines.
Deployment to cloud (AWS/GCP/Azure).