Advanced
30 min
Capstone Project
Yeh Lesson Kyun Zaroori Hai?
Capstone project se sab kuch apply karo � real-world GenAI project banao. Portfolio ke liye perfect hai. Yeh project aapko industry-ready banayega!
FULL STACK
End-to-end application � frontend se backend tak, sab kuch ek saath.
API
OpenAI API integration � real AI power add karo apne project mein.
DEPLOY
Production ready � live karo aur duniya ko dikhao.
PORTFOLIO
Showcase piece � interview mein dikhane ke liye perfect project.
Complete GenAI Application
# Complete GenAI App
import openai
class GenAIApp:
def __init__(self, api_key):
self.client = openai.OpenAI(api_key=api_key)
def chat(self, message, context=""):
response = self.client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": f"You are a helpful assistant. {context}"},
{"role": "user", "content": message}
]
)
return response.choices[0].message.content
def analyze_sentiment(self, text):
prompt = f"Analyze sentiment (positive/negative/neutral): {text}"
return self.chat(prompt)
def generate_content(self, topic, style="blog"):
prompt = f"Write a {style} about: {topic}"
return self.chat(prompt)
# Usage
app = GenAIApp("your-api-key")
# print(app.chat("Hello!"))
# print(app.analyze_sentiment("Bahut achha hai!"))
# print(app.generate_content("AI in Education"))
print("GenAI App ready!")Capstone Project Demo
Video coming soon � step by step project build dekho!
Interactive Editor � Build Your GenAI App
Output:
Code run karne ke liye "Run Code" dabao...
Exercise
3 capstone project ideas batao:
Lesson Summary
- ✓ GenAI App banana seekha � Full Stack approach
- ✓ OpenAI API integration samjhi
- ✓ Sentiment Analysis aur Content Generation banaya
- ✓ Portfolio ke liye perfect project ready hai