The Cerebot Project

Summer Internship 2025

View project on GitHub

Welcome home!

Over the course of 6–7 weeks, you’ll learn how to design, implement, and deploy a real-world chatbot using Python and modern web technologies. This site documents your learning journey and will evolve alongside your project.

🚧 This page is a living document. More resources and notes will be added as the project progresses!

🎯 Objectives

  • Build a simple but functional rule-based chatbot in Python
  • Learn how to structure and modularize Python code
  • Create a web interface for the chatbot using Flask
  • Practice agile, iterative software development
  • Gain experience with deployment tools like Replit, Render, or Heroku
  • Deploy a working chatbot demo online
  • Document and present the completed project professionally
  • Have fun!

🛠 Tools

  • Python 3.x
  • Git + GitHub
  • Visual Studio Code (or equivalent)
  • Flask
  • Replit / Render / Heroku (pick one for deployment)
  • JSON / APIs (optional extension)

📅 Weekly Plan

This plan is tentative and may be adapted based on learning pace or new ideas. The weekly plans’ hyperlinks are cu

🧪 Each week has goals and ends with a “demoable” outcome or checkpoint.

  • Week 1 – Intro to Python & Git + Environment Setup
    • Goals: Set up Python, Git, VS Code, and project repo
    • Outcomes: Terminal chatbot skeleton with input/output loop
  • Week 2 – Core Chatbot Logic
    • Goals: Implement hardcoded intents and response logic
    • Outcomes: Terminal chatbot can handle ~10 basic queries via dictionary or string matching
  • [Week 3 – External Data & Code Modularization]
    • Goals: Move chatbot responses to an external file (e.g., responses.json)
    • Outcomes: Chatbot can load knowledge dynamically + optional API response integration
  • [Week 4 – Web App Development (Flask)]
    • Goals: Convert chatbot into a web app with Flask
    • Outcomes: Web chatbot with textbox + submit button, hosted locally
  • [Week 5 – Polish & Deploy]
    • Goals: Finalize chatbot UI and deploy to a public platform
    • Outcomes: Live chatbot URL via Render/Replit/Heroku + basic styling
  • [Week 6 – Documentation & Final Demo]
    • Goals: Clean up repo, document all code, and prepare for presentation
    • Outcomes: Well-documented GitHub repo + project demo + team presentation

📚 Resources

  • [Glossary] – Definitions of terms used in the project
  • [Reference Docs] – Links to Python, Flask, Git, etc.

📐 Approach to Learning

  • Agile & Iterative Development
  • Self-Management & Ownership
  • Growth Mindset
  • Scandinavian Work Culture (“The Danish Way”)
  • Innovation-Driven Engineering
  • Effective Communication of Technical Work

👥 Author & Audience

This site is created and maintained by Viraj Rajurkar, Junior MLOps Engineer @ Cerebriu.

Created for Abhinav Pai, Summer Intern @ Cerebriu, Summer 2025.

If you’re reading this as a future intern, welcome! This site is both a learning scaffold and a celebration of your work :)