🧠 What You’ll Find Inside

• Prompt Engineering Guide with 🔥 Examples
• Upcoming AI/ML Hackathons with 📅 Timeline Sources
• Agentic AI Explained + 🎯 Resource List
• Ultimate Hackathon Hacks & Tools to Win 🏆

🛠️ Prompt Engineering — With Examples & Explanations

🤔 What is Prompt Engineering?

Prompt Engineering is the art of writing effective instructions to LLMs (like ChatGPT, Claude, or Gemini) to generate desired outputs. In hackathons, this can help you:

• Rapidly prototype features
• Auto-generate UI code
• Get suggestions for APIs, ML pipelines, or system design

graph TD
    A[Start with Identity] --> B[Define Context]
    B --> C[Specify Limitations]
    C --> D[State Problem Clearly]
    D --> E[Run Prompt + Refine]

🧬 Framework: Structure Your Prompts Like This

1. Who You Are (Persona Definition)

You are an AI mentor assisting a college student in building a hackathon project using agentic AI and LLMs.

2. Context (Background Information)

The student has basic knowledge of frontend development and wants to use AI tools to solve a real-world problem related to agriculture.