GigShield

Inspiration

In India, over 23 million gig workers power platforms like Swiggy, Zomato, Ola, and Uber. Every day, thousands of them get their accounts deactivated suddenly — with no explanation, no warning, and no way to fight back. Their income stops instantly. They don't know why it happened or what to do next.

I built GigShield because this is a real crisis affecting real people. These workers have no HR department, no union, no lawyer. They are completely helpless against an opaque algorithm. I wanted to change that.

What it does

GigShield is an AI-powered tool that helps gig workers understand why their account was deactivated and fight back with a professional appeal letter — in minutes.

The worker answers 5 simple questions:

• Which platform deactivated them?
• What was their rating before deactivation?
• Did they receive any customer complaints?
• Were there any unusual conditions that day? (Rain, Traffic, Phone Issue, Illness)
• Their name and Partner ID

GigShield then:

1. Analyzes their inputs and shows possible reasons for the deactivation in simple English
2. Generates a personalized, professional appeal letter addressed to the platform support team
3. Lets them copy the letter and send it immediately

How we built it

Built entirely using MeDo by Baidu — a no-code AI app builder.

I described the entire app in natural language and MeDo generated the full-stack application including the frontend, form logic, results page, and appeal letter generation.

I iterated through multiple prompts to:

• Build the 5-step form with progress tracking
• Add dynamic letter generation based on user inputs
• Add language toggle support
• Personalize the letter with worker's name and Partner ID
• Fix edge cases like blank gaps and missing input references

No coding was required — MeDo handled everything.

Challenges we ran into

• Getting the appeal letter to dynamically reflect the user's actual inputs (rating, conditions) took multiple prompt iterations
• Ensuring the letter had no blank gaps or broken formatting
• Making the deactivation reasons truly reflect the user's specific situation rather than showing generic text

Accomplishments that we're proud of

• Built a fully working app in under 7 days with zero code
• The appeal letter is genuinely useful — a real gig worker could copy it and send it today
• The app considers real-world conditions like rain and traffic as mitigating factors — something no existing tool does
• Clean, mobile-friendly UI that works for low-tech users

What we learned

• MeDo is incredibly powerful for rapid prototyping — what would take weeks of coding took hours of prompting
• The gig worker deactivation problem is massively underserved — no proper consumer tool exists for this
• Good prompting is a real skill — being specific and iterative gets much better results than one big prompt

What's next for GigShield

• Tamil, Hindi, and Telugu full translations
• WhatsApp integration — worker can receive appeal letter directly on WhatsApp
• Track appeal outcomes — build a database of what works
• Extend to more platforms — Urban Company, Rapido, Porter
• Partner with gig worker unions in India for wider reach

Built With

• css
• ernie-ai
• html
• javascript
• medo-by-baidu