AI-Powered Joke Bot

Bringing Humor to Digital Conversations

Student Thesis Project

Supervisor: Dr. Johnson

Student Developer: [Your Name]

Academic Year 2025-2026

Project Overview

An intelligent bot that understands and generates humor

Project Description

An AI-powered bot that generates, categorizes, and delivers jokes based on user preferences, mood, and context. Designed to bring lightheartedness to digital interactions and demonstrate natural language understanding capabilities.

Thesis Focus: Exploring how AI can understand and generate humor while maintaining appropriateness and cultural sensitivity.

Key Features

1

Context-Aware Humor - Generates jokes based on user preferences, time of day, and conversation context

2

Multiple Categories - Supports various joke types including puns, one-liners, knock-knock jokes, and dad jokes

3

Learning System - Adapts to user preferences by tracking which jokes get the best reactions

How Users Interact

Simple commands for instant humor

Basic Commands

Users can request jokes using intuitive commands and natural language.

Example 1: Random joke

User: /joke
Bot: "Why don't scientists trust atoms? Because they make up everything!"

Example 2: Category-specific

User: /pun
Bot: "I told my computer I needed a break... now it won't stop sending me Kit-Kat ads."

Example 3: Mood-based

User: I need a pick-me-up
Bot: "Here's something light: What do you call fake spaghetti? An impasta!"

Joke Generation Example

"Why did the AI cross the road?"

"To optimize the chicken's pathfinding algorithm!"

Joke Categories & Types

Diverse humor for different tastes

Supported Categories

😄

One-Liners

👨‍👧

Dad Jokes

🔔

Knock-Knock

📚

Puns

🤖

Tech Humor

🎓

Academic

Context Awareness

The bot considers:

Time of day (morning vs. evening jokes)
User's previous reactions
Cultural appropriateness
Current events (when relevant)
User's stated mood or preference

Technology Stack

Modern AI and development tools

Core Technologies

🤖

Natural Language Processing GPT-based models for understanding context and generating appropriate humor

💬

Telegram Bot API Platform for deployment and user interaction

🗄️

Database Storing joke collections, user preferences, and interaction history

⚙️

Python Backend FastAPI or Django for bot logic and API management

AI Components

Sentiment analysis for mood detection
Context understanding from conversation history
Joke appropriateness filtering
Personalized recommendation algorithms
Feedback learning system

Research & Evaluation

Measuring humor effectiveness and AI capabilities

Research Questions

1. Can AI consistently generate humor that humans find funny?

2. How does contextual awareness affect joke reception?

3. What metrics best measure "successful" AI-generated humor?

Evaluation Methods

User satisfaction surveys (1-5 ratings)
Laughter/amusement detection in follow-up messages
A/B testing different joke generation approaches
Long-term engagement tracking
Cultural appropriateness assessments

Expected Contributions

To AI Research: Insights into humor generation and natural language understanding.

To Practical Applications: A framework for creating engaging, personality-driven chatbots.

To Human-Computer Interaction: Understanding how humor affects user engagement.

Future Possibilities

Expanding the bot's capabilities and applications

Expansion Opportunities

🌍

Multilingual Support Generate and understand jokes in multiple languages

🎭

Personality Customization Allow users to select joke styles (sarcastic, wholesome, witty, etc.)

📊

Joke Analytics Track which jokes perform best and identify humor patterns

🤝

Collaborative Joke Creation Allow users to co-create jokes with the AI

🎮

Gamification Add joke-telling games and humor challenges

🎨

Visual Humor Generate memes and visual jokes using image generation AI

Academic Value: This project contributes to understanding AI's creative capabilities and human-AI interaction dynamics.

Practical Applications: Beyond entertainment, humor-generation AI has applications in mental health, education, and customer service.