Added chatbot imlementation project

docs/projects/natural-language-processing/chatbot-project-implementation.md

@@ -0,0 +1,180 @@
+
+# Chatbot Implementation Project
+
+## AIM
+To develop a chatbot using Natural Language Processing (NLP) and a Naive Bayes classifier for intent classification. The chatbot takes user input, predicts the intent, and generates an appropriate response based on predefined intents and responses stored in a CSV file.
+
+
+### DATASET LINK   
+[https://drive.google.com/file/d/1J7mGS16EkgCEtN7UJtBlJACeqoDbdS4F/view?usp=drive_link](https://drive.google.com/file/d/1J7mGS16EkgCEtN7UJtBlJACeqoDbdS4F/view?usp=drive_link)
+
+
+### NOTEBOOK LINK
+[https://colab.research.google.com/drive/1L2LKfbVv4pb4yzczcRnnU4AkEW-kCZSZ?usp=sharing](https://colab.research.google.com/drive/1L2LKfbVv4pb4yzczcRnnU4AkEW-kCZSZ?usp=sharing)
+
+
+
+## LIBRARIES NEEDED
+
+??? quote "LIBRARIES USED"
+    - nltk
+    - scikit-learn
+    - numpy
+    - pickle
+
+
+---
+
+
+### DESCRIPTION
+
+??? info "What is the Requirement of the Project?"
+    -A chatbot is required to automate conversations and provide immediate responses to user queries. It can be used to answer  FAQs, provide customer support, and improve user interaction.
+
+??? info "Why is it Necessary?"
+    - Chatbots are essential for improving user engagement and providing 24/7 service.
+    - They automate responses, saving time and providing immediate help.
+
+??? info "How is it Beneficial and Used?"
+    - Chatbots can be used for:
+    1. Customer service automation.
+    2. Answering user questions.
+    3. Guiding users through processes on websites or apps.
+
+
+####  "Initial Thoughts and Planning"
+   - **Intents and Responses**: Gathered and stored in CSV format.
+   - **Preprocessing**: Tokenized and lemmatized text to prepare for model training.
+   - **Model**: Built a Naive Bayes classifier to predict intents.
+   - **Deployment**: Deployed the model to predict user queries and return appropriate responses.
+
+---
+
+#### Additional Resources Used
+   - [Scikit-learn Documentation](https://scikit-learn.org)
+   - **Tutorial**: Building Chatbots with NLP and Machine Learning
+
+---
+
+### FEATURES IN THE DATASET
+
+| Feature   | Description                                       |
+|-----------|---------------------------------------------------|
+| `intents` | User query categories like greetings, farewells.  |
+| `responses` | Predefined chatbot responses for each intent.   |
+
+---
+
+#### STEPS AND IMPLEMENTATION
+
+===  "step 1" 
+      Data Preprocessing
+    - Loaded the intents from CSV files.
+    - Cleaned data by removing duplicates and handling null values.
+
+
+
+===   "step 2"
+      Vectorization
+    - Used `TfidfVectorizer` to convert text into vectors.
+    - Split data into training and testing sets.
+
+
+===   "step 3"
+      Model Training
+    - Trained a Naive Bayes classifier on the preprocessed data.
+    - Saved the model for future use with `pickle`.
+    - Created an intent-response mapping.
+
+===  "step 4"
+      Prediction and Response Generation**
+    - The chatbot predicts the intent based on user input.
+    - Fetches and returns the appropriate response.
+
+=== "step 5" 
+      Testing
+    - Conducted live interaction tests with the chatbot.
+
+
+---
+
+### Features Not Implemented Yet
+- Integration of a deep learning model (e.g., RNN or LSTM) for better context handling.
+
+---
+
+
+### Flow Chart
+
+```mermaid
+graph TD
+    A[Data Preprocessing] --> B[Vectorization]
+    B --> C[Model Training]
+    C --> D[Prediction and Response Generation]
+    D --> E[Testing the Chatbot]
+
+    A1[Load intents from CSV] --> A2[Clean data: remove duplicates and handle nulls]
+    A --> A1
+    A --> A2
+
+    B1[Use TfidfVectorizer to convert text into vectors] --> B2[Split data into training and testing sets]
+    B --> B1
+    B --> B2
+
+    C1[Train Naive Bayes classifier] --> C2[Save model with pickle] --> C3[Create intent-response mapping]
+    C --> C1
+    C --> C2
+    C --> C3
+
+    D1[Chatbot predicts intent] --> D2[Fetch appropriate response based on intent] --> D3[Return response to user]
+    D --> D1
+    D --> D2
+    D --> D3
+
+    E1[Live interaction with chatbot] --> E2[Test accuracy and responses]
+    E --> E1
+    E --> E2
+```
+```
+
+#### Example Chatbot Interaction:
+
+```text
+You: Hello
+Bot: Hi, How can I assist you?
+```
+
+---
+
+## MODELS AND EVALUATION METRICS
+
+| Model            | Accuracy | Precision | Recall |
+|------------------|----------|-----------|--------|
+| Naive Bayes      | 92%      | 91%       | 90%    |
+
+---
+
+### CONCLUSION
+
+??? "What Have You Learned?"
+      - Building a chatbot using NLP techniques can automate interactions and provide user-friendly interfaces for businesses.
+      -The Naive Bayes classifier is an effective yet simple model for intent prediction.
+
+---
+
+#### USE CASES
+
+=== "Application 1"
+
+    **Customer Support Automation**
+
+    -Provide 24/7 automated support for customers.
+
+
+=== "Application 2" 
+
+    **FAQ Automation**
+
+    - Automatically respond to frequently asked questions on websites or apps.
+
+

docs/projects/natural-language-processing/index.md

@@ -1,2 +1,16 @@
 # Natural Language Processing 🗣️ 
+# Chatbot Implementation 🤖 
 
+<div style="display: flex; flex-direction: column; gap: 10px;">
+
+<!-- Chatbot Implementation -->
+<a href="chatbot-project-implementation" style="padding: 0 2px 0 16px; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0,0,0,0.1); overflow: hidden; transition: transform 0.2s; display: flex; align-items: center;">
+  <img src="https://media.istockphoto.com/id/1510476834/photo/ai-robot-icon-on-smartphone-chat-concept-with-ai-artificial-intelligence.jpg?s=1024x1024&w=is&k=20&c=cXTdI1ZrkVnzyvKJSglFaR354dgZbe4btsaDbTwyKV8=" alt="Chatbot Illustration" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" /> 
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Chatbot Implementation Project</h2>
+    <p style="font-size: 16px;">Developing a modern chatbot system using NLP techniques and AI algorithms.</p>
+    <p style="font-size: 12px;">📅 2025-01-21 | ⏱️ 15 mins</p>
+  </div>
+</a>
+
+</div>