FERRADJI-TAREK/chatbot-djezzy-rag-finetuning

This project involves designing an intelligent chatbot to improve customer support at Djezzy, a major telecom provider in Algeria. It explores key aspects of Generative AI as part of a practical internship. # **INTELLIGENT CUSTOMER SUPPORT CHATBOT FOR DJEZZY** ## **Project Overview** This project focuses on the design and implementation of an **intelligent chatbot** aimed at enhancing customer support at **Djezzy**, one of Algeria's leading telecommunications providers. Conducted as part of a practical internship within the company, it explores key aspects of **Generative AI**, including **fine-tuning large language models (LLMs)**, optimizing responses, and integrating a **Retrieval-Augmented Generation (RAG) system**. ## **Project Stages** ### **1. Data Collection and Extraction** - Utilized **web scraping** techniques to extract relevant data from various online sources. - Preprocessed raw data to ensure quality and relevance before training. ### **2. Data Processing and Preparation** - Cleaned, annotated, and structured data to optimize chatbot performance. ### **3. Model Training and Optimization** - **Fine-tuned** a **Large Language Model (LLM)** on a **Djezzy-specific corpus**, ensuring accurate and context-aware responses. - Integrated a **RAG system**, combining **retrieval-based search and text generation**, to provide precise and contextualized answers based on company documents. ### **4. Implementation and Deployment** - Developed a **user-friendly interface** for chatbot interactions. ### **5. Performance Evaluation and Optimization** - Measured chatbot efficiency using **performance metrics** such as **precision, recall, and F1-score**. - Adjusted and improved responses based on user feedback and test results to enhance customer experience. ## **Conclusion** This project demonstrates the impact of **Generative AI** in automating customer service. By combining **fine-tuned LLMs and a RAG system**, the chatbot provides **highly relevant** and **optimized** responses, improving customer interaction. By **reducing workload on support teams** and offering **instant assistance**, the chatbot significantly enhances the user experience. ## **Technologi …