So u have made yourself read this file.

Well hello nerds it me “The Dev”

if ur still wondering what this is then its nothing but a analyzer in simple words. what it does that it takes the given processors from
data_manager.py it acts as a (chef) who cooks my backend this is the part which does all the calculations and stuff. it divides each processor
with its given performance data and its retail price and then which creates a vector score thts it in simple words.

now ai engine.py works on the chat bot self understandable

[NOTE] the performance of the ai chatbot completely depends on what ai model ur using and ur pc here im using lowest possible one

since i dont have a powerful pc

#[NOTE] U have to install and run {“qwen2.5:0.5b”} ollama model. make sure to keep it open when ur running the website in ur cmd

if u didnt understand what app.py was its just the foundation of the website the cool ui which u see thts it
The most challenging part from this project was obvisously the backend making the data_manager.py file becuz i had to figure a lot on how will it function and great newz i learnt how RAG pipelines work for first time !VAMOS!

[python -m streamlit run app.py] DO this to run it with the help of the terminal

lOOK DOWN: to see functioning ai chatbot

IF U LIKED MY PROJECT PLZ RATE AND LIKE IT THNX

LOVE FROM A SINGLE 14YR CHARMING BOI L

❤️ FROM DEV
XOXO