### $1.$ Access and Extract Content from PDF Documents

$-**$How$-$to$**$:

$-$ Use a PDF reading library $($like PyPDF$2$ in Python$)$ to access and extract text from the PDFs$.$

$-$ Carefully handle the text extraction to ensure that the formatting and structure of the content are preserved as much as possible.

### $2.$ Convert Extracted Data into Numerical Vectors

$-**$Task$**$: Transform the extracted text into a format that can be processed by machine learning models.

$-**$How$-$to$**$:

$-$ Use natural language processing $($NLP$)$ techniques to preprocess the text $($tokenization$,$ stemming, removing stop words, etc.$).$

$-$ Convert the preprocessed text into numerical vectors using techniques such as TF$-$IDF $($Term Frequency$-$Inverse Document Frequency$)$ or Word$2$Vec.

### $3.$ Store Vectors and Document Details in a Database

$-**$Task$**$: Create a database to store both the numerical vectors and the details of each document.

$-**$How$-$to$**$:

$-$ Choose a suitable database system $($like PostgreSQL, MongoDB, etc.$).$

$-$ Design the database schema to efficiently store the vectors and relevant metadata $($like document title, author, etc.$).$

$-$ Implement data insertion scripts to populate the database.

### $4.$ Develop the Chatbot

$-**$Task$**$: Create a chatbot that can interact with users and provide responses based on the content from the PDF documents.

$-**$How$-$to$**$:

$-$ Integrate an LLM $($Large Language Model$)$ for processing user queries.

$-$ Implement a search mechanism that matches user queries to the content vectors in the database to find relevant answers.

$-$ Ensure the chatbot can handle a variety of user inputs and questions effectively.

### $5.$ Handle Non$-$relevant Queries

$-**$Task$**$: Manage situations where the PDF content does not contain relevant information.

$-**$How$-$to$**$:

$-$ When a query does not match the PDF content, use the LLM to generate a relevant response.

$-$ If the LLM also fails to provide a suitable answer, program the chatbot to deliver a user$-$friendly message indicating the lack of information.

### $6.$ Design the User Interface $($UI$)$

$-**$Task$**$: Create a UI for the chatbot that is intuitive and user$-$friendly.

$-**$How$-$to$**$:

$-$ Design the UI to have the typical features of a chatbot interface $($text input box, conversation history, etc.$).$

$-$ Make the UI visually appealing and ensure it is responsive for different devices and screen sizes.