This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle
What I Built
I built LocalBiz AI — Your AI Side Hustle Assistant, an open-source web application that helps small business owners, freelancers, and aspiring entrepreneurs create business content more easily.
Creating professional marketing content can be time-consuming, especially for people who are running a small business with limited resources. LocalBiz AI helps users generate product descriptions, social media captions, business growth ideas, and pricing suggestions from a simple dashboard.
Users can customize their content according to their business, target audience, and preferred writing tone. The application also supports saving previous creations and copying generated content.
The project is designed for small business owners, freelancers, students, and people starting a side hustle. Potential customers could pay for additional features such as advanced content generation, multilingual support, downloadable reports, and business-specific AI assistance.
Demo
🚀 Live Demo: Try LocalBiz AI
💻 GitHub Repository: Explore the source code
Code
The project is open source and built with HTML, CSS, and JavaScript, with optional local AI integration through Ollama.
🔗 Repository: https://github.com/shshnkdixit/LocalBiz-AI
The code is organized into separate files for the user interface, styling, and application logic, making it easier for contributors to understand and improve.
How I Built It
live Url = https://shshnkdixit.github.io/LocalBiz-AI/
I built LocalBiz AI using:
- HTML5 for the application structure.
- CSS3 for the responsive interface and dashboard design.
- JavaScript for form handling, content generation, copy functionality, and saving previous creations.
- LocalStorage for keeping saved content in the browser.
- Ollama for optional local inference using open-weight language models.
The application includes a demo generation mode and an Ollama integration path. Demo mode helps users explore the interface, while the Ollama integration allows the application to send prompts to a locally running language model.
I focused on making the interface simple enough for non-technical users. Instead of requiring users to write complex prompts, the application guides them through entering their business details and selecting the type of content they need.
Why Does Open Innovation Matter?
Open innovation makes AI more accessible to developers, students, and small businesses that may not have the budget for expensive proprietary AI services.
For LocalBiz AI, open-weight models and local inference offer a way to experiment with AI without making a paid proprietary API a mandatory part of the application. Developers can inspect the code, customize prompts, experiment with different supported models, and contribute new features.
This approach also encourages learning and collaboration. Other developers can extend the project with additional languages, better content-generation workflows, improved accessibility, and integrations for real small-business needs.
My goal is to explore how open-source AI can help people turn their business ideas into practical tools.
My Agent Session
This project was developed through an iterative coding workflow involving AI-assisted development, implementation, and refinement.
I do not have a public DevRelay agent-session link to share yet.
Prize Categories
My project is submitted for the Hacktoberfest Open-Source AI Challenge — Week 2: Side Hustle.
Additional partner prize categories can be listed here if the project meets their specific eligibility requirements.
Built by a developer exploring open-source AI and practical tools for small businesses.
If LocalBiz AI sounds useful, check out the repository, try the live demo, and contribute ideas for making it better!
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