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import gradio as gr
import random
# SaaS Idea Categories
categories = [
"AI-Powered Marketing", "Health & Fitness", "E-commerce Automation", "Remote Work Tools", "Finance & Investing",
"EdTech & Learning", "Legal & Compliance", "HR & Recruitment", "Cybersecurity", "SaaS for Small Businesses"
]
# AI-Based SaaS Idea Generator
def generate_saas_idea(category, custom_niche, num_ideas):
ideas = {
"AI-Powered Marketing": [
"An AI tool that generates personalized email marketing campaigns.",
"A SaaS that automates ad targeting and optimization using AI."
],
"Health & Fitness": [
"A virtual AI coach that tailors workouts based on real-time feedback.",
"A nutrition tracking SaaS that generates meal plans using AI."
],
"E-commerce Automation": [
"AI-based product recommendation engine for online stores.",
"A tool that automates social media content creation for e-commerce brands."
],
"Remote Work Tools": [
"An AI-powered meeting summarizer with action item tracking.",
"A virtual co-working space with AI productivity tracking."
],
"Finance & Investing": [
"AI-driven stock market trend predictor for retail investors.",
"A budgeting SaaS that automatically categorizes expenses using AI."
],
"EdTech & Learning": [
"An AI tutor that provides instant feedback on coding exercises.",
"A language learning SaaS that adapts to user mistakes dynamically."
],
"Legal & Compliance": [
"An AI-based contract analyzer for small businesses.",
"A GDPR compliance monitoring tool for websites."
],
"HR & Recruitment": [
"An AI-driven resume screening tool that ranks candidates.",
"A SaaS for automated job description optimization."
],
"Cybersecurity": [
"A SaaS that detects phishing emails using AI.",
"An AI-powered password strength checker and breach alert system."
],
"SaaS for Small Businesses": [
"An AI-powered invoice and expense tracking system.",
"A chatbot that handles customer support queries automatically."
]
}
selected_ideas = random.sample(ideas.get(category, ["No ideas available."]), min(num_ideas, len(ideas.get(category, []))))
if custom_niche:
selected_ideas.append(f"An AI-powered SaaS solution for {custom_niche}.")
return "\n\n".join(selected_ideas)
# Gradio UI
iface = gr.Interface(
fn=generate_saas_idea,
inputs=[
gr.Dropdown(categories, label="Select a Category"),
gr.Textbox(label="Enter Custom Niche (Optional)"),
gr.Slider(minimum=1, maximum=5, step=1, value=2, label="Number of Ideas")
],
outputs="text",
title="LaunchPad AI - SaaS Idea Generator",
description="Get AI-generated SaaS ideas! Choose a category, enter a niche (optional), and select the number of ideas to generate.",
)
# Launch the App
iface.launch()
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