SellCraft AI: Your Smart Sidekick for Creating Product Listings

ANUSHKA BAJPAI — Wed, 14 Oct 2026 07:41:30 +0000

SellCraft AI: Making Product Listing Creation Easier for Small Sellers ✨

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle.

What I Built

I built SellCraft AI, a product listing assistant designed for small business owners, Instagram sellers, resellers, and people who sell products online.

Writing product descriptions, finding keywords, and creating social media captions for every product can take a lot of time. For small sellers who manage everything themselves, this can become a repetitive task.

SellCraft AI aims to make that process easier. Users can enter their product name, category, target audience, and product details, then generate content they can edit and use for their listings.

The current prototype includes:

Product titles and descriptions
Key features and search keywords
Social media captions
Different writing tones
Editable results
Copy and text-file export options
Saved drafts and dark mode

My long-term goal is to turn this into a useful product that saves small sellers time and is valuable enough for them to pay for.

Demo

Live demo: https://anushkabajpaigarg10-debug.github.io/SELLCRAFTAI/

The application currently runs in a browser and does not require an API key or a backend.

Code

GitHub repository:https://github.com/anushkabajpaigarg10-debug/SELLCRAFTAI.git
The project currently uses three main files:

index.html — the application structure
style.css — the interface and responsive styling
script.js — listing generation, copying, downloads, and saved drafts

How I Built It

I built the initial prototype using HTML, CSS, and JavaScript, keeping the setup simple and beginner-friendly.

The current version uses JavaScript templates to organize product details into titles, descriptions, features, keywords, and captions. It also uses browser local storage to save drafts.

I chose a simple frontend first because I wanted to build something usable before adding more complex infrastructure.

My next step is integrating a locally running open-weight language model. I want to explore how local AI can make the generated content more flexible and relevant to each seller's products and writing style.

The current version does not yet run an AI model, so local inference is a planned improvement rather than a completed feature.

Why Does Open Innovation Matter?

For a tool like SellCraft AI, open innovation could make a real difference.

Privacy: Sellers may work with unpublished products, private catalogues, or business information. Local inference could allow them to generate content without sending every request to a third-party AI API.

Cost control: A local model could reduce per-request API expenses, which matters when building a product for small businesses with limited budgets. However, local hardware, electricity, and maintenance still have costs.

Freedom to experiment: Open-weight models would let me experiment with different models, prompts, and writing styles instead of depending entirely on one provider.

Learning and customization: As a student building this project, I want to understand how the model works as part of the application rather than treating AI as a black-box API call.

I am still at the beginning of this journey. My goal is to make open-source AI a core part of the working product, not just add it as a feature for the sake of the challenge.

My First User

I am looking for small online sellers who would be willing to test SellCraft AI with their real product details.

My first goal is to learn whether the tool genuinely saves them time, whether they find the generated content useful, and what they would need before paying for it.

I haven't claimed any paying customers or validated willingness to pay yet. That is one of the next milestones I want to work toward.

What's Next?

My roadmap includes:

Integrating a locally running open-weight model
Improving product-specific content generation
Adding reusable brand voice settings
Supporting more languages
Generating listings in batches
Testing the product with real sellers

I started SellCraft AI as a small project, but I want to explore whether it can grow into something genuinely useful for people running small businesses.

The goal is simple: spend less time writing listings and more time building the business. ✨

OutsideIRL: Less Scrolling, More Living | Touch Grass Challenge

ANUSHKA BAJPAI — Sun, 11 Oct 2026 18:13:23 +0000

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass

OutsideIRL: Less Scrolling, More Living 🌿

What I Built

OutsideIRL is a web app built around a simple idea: technology should help us experience the real world, not keep us stuck in front of a screen.

As students, we spend a lot of time on our laptops and phones for classes, assignments, and entertainment. Sometimes, we forget to take a break, step outside, and notice what's happening around us.

OutsideIRL encourages people to take small steps toward a more active and mindful lifestyle through simple outdoor missions.

Users can explore missions, filter activities by category, use a timer, track completed activities, and record personal reflections.

The goal isn't to spend more time using the app. It's to use the app as a starting point, put the phone away, and actually experience the activity.

Demo

Live Demo: https://anushkabajpaigarg10-debug.github.io/OUTSIDEIRL/

Code

GitHub Repository: https://github.com/anushkabajpaigarg10-debug/OUTSIDEIRL.git

The project currently uses HTML, CSS, and JavaScript, with browser local storage for supported progress data.

How I Built It

I built OutsideIRL using HTML for the structure, CSS for the design and responsive layout, and JavaScript for the interactive features.

The current prototype includes predefined outdoor missions, category filters, a mission timer, progress tracking, and personal reflections.

For this first version, I focused on creating a working frontend prototype that demonstrates the core experience.

Integrating an open-weight AI model to generate personalized outdoor missions is a planned next step. I want to explore running an open-source model locally so the experience can become more adaptive while giving users greater control over their data.

Why Does Open Innovation Matter?

I believe open innovation matters because useful technology should be something people can explore, understand, adapt, and improve.

For OutsideIRL, open-source AI could make it possible to generate outdoor activities based on a person's interests, available time, and surroundings without depending entirely on a closed AI service.

Local inference could also offer more control over personal data and allow developers to experiment with models on their own devices.

I haven't implemented that AI integration yet, but it's an important part of where I want to take this project.

For me, the bigger idea is that AI doesn't always have to give people another reason to stay online. It can help them discover reasons to step outside.

Prize Categories

I'll add the applicable partner categories after confirming which ones my implementation qualifies for.

DEV Community: ANUSHKA BAJPAI

SellCraft AI: Your Smart Sidekick for Creating Product Listings

SellCraft AI: Making Product Listing Creation Easier for Small Sellers ✨

What I Built

Demo

Code

How I Built It

Why Does Open Innovation Matter?

My First User

What's Next?

OutsideIRL: Less Scrolling, More Living | Touch Grass Challenge

OutsideIRL: Less Scrolling, More Living 🌿

What I Built

Demo

Code

How I Built It

Why Does Open Innovation Matter?

Prize Categories