Inspiration

We noticed how traditional search engines often return overwhelming or irrelevant results, forcing users to spend time digging for what they really need. With the rise of AI and trusted data APIs, we wanted to create a tool that delivers precise, contextual, and secure answers without the noise. That’s how WebSeeker was born.

What it does

WebSeeker is an AI-powered research assistant that brings together multiple APIs and security layers to give users clean, actionable insights. Instead of browsing through dozens of tabs, users get direct, trustworthy answers inside a seamless UI. It’s built for students, developers, and professionals who need information fast and securely.

How we built it

Frontend/UI: Built using Next.js with a modern, intuitive interface.

Authentication: Secured with Clerk for user management.

Security Layer: Vonage API integration for verification.

AI Integration: Leveraged Gemini API for reasoning and Exa API for trusted data retrieval.

Flow: Users log in → verify identity with Vonage API → query → get enriched, trustworthy results.

Challenges we ran into

Handling API orchestration between Gemini and Exa while keeping latency low.

Ensuring data privacy and security in authentication and verification flows.

Designing a user-friendly interface that balances simplicity with advanced features.

Overcoming integration issues between multiple third-party APIs.

Accomplishments that we're proud of

Successfully integrated multi-layer authentication and security into the research workflow.

Built a clean and functional UI that makes WebSeeker accessible to all types of users.

Created a system that transforms messy, scattered web data into clear insights.

Collaborated effectively as a team under tight deadlines.

What we learned

The importance of balancing accuracy with speed when building AI-driven tools.

Best practices in API integration and authentication workflows.

How critical user experience design is for adoption and usability.

That secure, AI-powered search is not just a “nice to have” — it’s becoming a necessity.

What's next for WebSeeker

Adding multi-source citations and trust scores for results.

Building a collaborative research mode where teams can share findings.

Expanding integrations with more APIs (e.g., Arxiv, PubMed, GitHub) for domain-specific research.

Mobile app version for on-the-go access.

Potential to evolve into a knowledge discovery platform for enterprises.

Built With

  • ai
  • api
  • exa
  • llm
  • vonage
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