Websy - Know Before You Browse

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  Websy’s homepage where users enter a website URL to instantly check if it’s safe for browsing or online shopping.

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  Shows the overall trust score and a quick snapshot of the website, helping users understand risk at a glance.

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  Highlights key positives, risks, and real user feedback to balance technical analysis with public sentiment.

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  Explains how the trust score is calculated and provides a clear AI-generated verdict in simple language.

Inspiration

Recently a lot of people we know have been victims to online scams losing their hard earned money, so we wanted to bring a change to that. Our webapp's ideation began with the thought of helping the less aware people in todays society such as the elderly and the poorly priveledged. Websy was inspired by the need for a simple, AI-powered way to help users decide if a site is safe before browsing or making a purchase and save people from losing money or personal information.

What it does

Websy is an AI-powered web app that analyzes website trust signals and generates a clear trust score with an easy-to-understand verdict. It helps users quickly identify potentially risky websites and shop online with confidence.

How we built it

Websy was built using React and TypeScript with a modular, component-based frontend. Gemini’s reasoning capabilities are used to analyze trust indicators such as domain age, security signals, and scam-like patterns. A dedicated trust meter visualizes results, while environment variables securely manage API access.

Challenges we ran into

A major challenge was minimizing false positives, particularly for new but legitimate websites. Another challenge was converting complex AI reasoning into explanations that are accurate yet simple for non-technical users.

Accomplishments that we're proud of

1. Built a fully functional AI-powered trust analysis tool
2. Created a clean and intuitive user experience
3. Successfully integrated Gemini for real-world safety use cases
4. Designed a system that balances accuracy with user trust

What we learned

This project deepened our understanding of AI reasoning, frontend system design, and building user-focused safety tools. We also learned how to handle real-world trade-offs between accuracy, explainability, and usability.

What's next for Websy - Know Before You Browse

We want Websy to be the benchmark for validating the online browsing safety of consumers. The next phase of Websy focuses on strengthening community trust and expanding safety coverage. Planned features include a user reporting system that allows users to report scams, frauds, or suspicious experiences with websites they have browsed or purchased from. These reports will help surface emerging scam patterns and improve overall trust accuracy.

Websy also aims to introduce browser extension support for real-time safety checks while users browse the web. Additional trust signals such as payment method analysis, content similarity detection, and reputation tracking for repeat offenders will further enhance accuracy. In the long term, Websy plans to combine AI analysis with community feedback to create a more transparent, reliable, and user-driven web safety ecosystem.

Moving further, we would love to implement big databases that Google has to offer for our search and analysis to give the user an even more accurate & in depth results.

Built With

• and-css**-for-the-frontend
• css
• gemini
• git
• github
• html
• javascript
• node.js
• node.js-and-rest-apis**-for-backend-integration
• powered-by-the-**google-gemini-api**
• react
• restapi
• secure-**environment-variables**-for-configuration
• still-clean-and-devpost-ready:-websy-was-built-using-**react-and-typescript**
• typescript
• with-**vite