Intelligent Chatbot

As part of my personal project, I wanted to deepen my skills in natural language processing (NLP) and deep learning by developing a conversational assistant capable of interacting fluently with a user.

❓ Problem Statement

Classic chatbots often provide limited responses and fail to correctly understand user intentions, which detracts from the quality of the interaction and the relevance of the responses.

🛠️ Implemented Solution

I designed a chatbot based on a recurrent neural network with LSTM cells, capable of effectively classifying user intentions from their messages. The model is trained on a dataset of intents and patterns, and is accompanied by a simple graphical interface under Tkinter for intuitive interaction.
👉 Functional prototype run locally, with a solid foundation for future production deployment.

⚙️ Technical Stack

• Languages : Python

• NLP Libraries : sklearn (TF-IDF, cosine similarity), NLTK

• UI / App : Streamlit (or a simple local interface)

• Data : HR documents (PDF, Word)

• Environment : local (Jupyter, VS Code)

  
  

Link to the GitHub repository: MyChatbot