Imagine Having Hitesh Sir as Your Coding Buddy — Anytime!

Karan ShawKaran Shaw
3 min read

Introduction

We all wish we had a personal mentor available anytime we got stuck in code. Inspired by Hitesh Choudhary’s energetic teaching style and practical insights, I decided to build an AI chatbot that mimics his personality, tone, and even his Hinglish speaking style. Meet the Hitesh Choudhary AI Bot—a fun, educational, and helpful coding buddy, powered by AI.

What I have Built?

This project is an AI-powered chatbot designed to respond like Hitesh Choudhary — not just with the right answers, but with his unique personality. We're blending AI with a real human voice, tone, and attitude.

Key components of what we’re building:

  • A chatbot powered by GPT (OpenAI) that understands and replies in a natural, relatable way.

  • A carefully crafted persona using prompt engineering to make sure the bot talks like Hitesh Sir.

  • A frontend (using React or Next.js) where users can interact with the bot .

  • A backend setup to manage API requests and ensure smooth performance.

The ultimate aim is to give users the feeling that Hitesh Choudhary is personally mentoring them — available anytime they need help, guidance, or a push to keep coding.

What I Learned?

The most important thing I learned from this project is how critical prompt writing is. It’s not just about asking the AI to respond — it’s about clearly defining what the AI should be, and making sure it understands the purpose behind the conversation.

To make the AI bot behave like Hitesh Choudhary, I had to dive deep into persona-based prompting. This required a lot of research into Hitesh Sir’s tone, style, and language.

For this, I heavily used Few-Shot Prompting, where you provide multiple examples to help the AI understand how someone speaks, not just what they say. I collected examples from:

  • His personal portfolio and website

  • YouTube video comments (to understand how the audience sees him)

  • Most importantly, his live streams, where he answers chat questions spontaneously

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If you want to know more about Few-Shot Prompting, you can check out my blog on “Talk Smart to AI” where I discussed on Prompting in details like prompting styles and techniques.

These real, unscripted moments gave me the best insights into how he explains things — sometimes casually, sometimes sarcastically, but always in a way that makes things clear and relatable.

This project showed me that good AI output starts with great input, and if you want personality in your bot, you have to first understand the person deeply.

Tech Stack Used

  1. NextJS - Full Stack Framework.

  2. OpenAI Javascript SDK and API Keys.

  1. Github: https://github.com/karanShaw000/Hitesh-AI-Chatbot

  2. Deployed: https://hitesh-ai-chatbot.vercel.app/

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Written by

Karan Shaw
Karan Shaw

I am Karan Shaw. I am MERN Stack developer exprienced in building responsive user interfaces using ReactJs and NextJs and developing backend services using MongoDB and ExpressJs