Project Title: Smart Student Portal —

Project Title:

Smart Student Portal — AI-Powered Academic Platform & RAG Chatbot

Overview:

An innovative, school-wide academic portal developed to modernize the student experience for over 8,000 students at FST Mohammedia. The platform centralizes fragmented university resources (exam archives, course schedules, and directories) into a modern, responsive interface and enriches it with advanced Artificial Intelligence (RAG Chatbot and Agentic Orientation Assistant).

Key Features:

Aide & Conseils (RAG Chatbot): A custom-engineered Retrieval-Augmented Generation (RAG) assistant that answers student administrative and academic queries in real-time, powered by Qdrant Vector Database and Jina AI v3 (768D) embeddings.

Agent IA d'Orientation (Agentic AI Advisor): An intelligent agentic advisor that dynamically matches students’ raw interests with the curriculum details of 26 engineering and science majors to deliver personalized career and pathway recommendations.

Automated Python Scraping & ETL Pipeline: Designed a robust scraping pipeline using BeautifulSoup4 and PyMuPDF to automate data ingestion from official portals, converting unstructured university documents and PDFs into structured vector representations.

Modern Glassmorphism UI: Designed a visually stunning, mobile-first frontend utilizing Vanilla HTML5, CSS3, and ES6+ JavaScript with an elegant glassmorphism theme, ensuring ultra-fast page load speeds.

Self-Healing DevOps Infrastructure: Containerized the entire ecosystem (frontend, n8n orchestrator, Qdrant DB, and Nginx proxy) using Docker & Docker Compose, fully automated via Jenkins CI/CD pipelines featuring automated parallel health checking.

Tech Stack:

Frontend: HTML5, CSS3 (Glassmorphism), JavaScript ES6+

AI & Orchestration: n8n, Qdrant Vector Search, Jina AI Embeddings v3, LLM APIs

Automation & ETL: Python, BeautifulSoup4, PyMuPDF (fitz), Requests

DevOps & Hosting: Docker, Docker Compose, Nginx Reverse Proxy, Jenkins CI/CD

Why this project stands out:

This capstone project showcases my comprehensive expertise in Full-Stack development, AI/RAG engineering, Data Ingestion (Scraping), and DevOps/MLOps orchestration. It proves my ability to build, secure, and automatically deploy practical AI tools that scale to thousands of active users.