Research Assistant

A user can select any paragraph, and our tool intelligently reacts—no buttons, no clicks—just natural behavior + smart AI.
Most AI tools require copying, pasting, or switching apps. That slows users down during deep research.
Users waste time trying to interpret large paragraphs. This provides instant context and breakdown, directly from selection.
Our extension delivers clean, structured summaries, proving its ability to aid learning, comprehension, and productivity.

🚀 Inspiration In a world flooded with information, we often copy text from articles, reports, or documents — but understanding it quickly is a struggle. We wanted to build an assistant that makes this painless, especially for students, researchers, and professionals.

💡 What it does Research Assistant instantly summarizes any copied or selected text into clear, concise bullet points using Gemini API — making long content easy to digest.

🛠️ How we built it Frontend: HTML, CSS, and JavaScript to detect copied text and show summaries in a clean UI. Backend: Java Spring Boot to handle API communication. AI Integration: Google Gemini API for generating intelligent summaries.

🧗‍♂️ Challenges we ran into Ensuring accurate text capture from any screen context. Optimizing prompt engineering for bullet-point summaries. Handling API response formatting for different content types.

🏆 Accomplishments that we're proud of Seamless clipboard-to-summary flow. Lightning-fast response time using Gemini. A minimal, distraction-free UI that’s actually useful in daily research or reading.

📚 What we learned Real-world prompt design for generative AI. Full-stack integration using Java and modern frontend tech. Building tools that solve everyday problems effectively.

🔮 What's next for Research Assistant Add voice summarization for accessibility. Chrome extension for native browser support. Support for summarizing PDFs and screenshots with OCR. This is the project that i earlier build i have oriented today's this hackathons. Can you update this and help me to win

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I was the sole developer and architect behind the Research Assistant project. I designed and implemented both the Chrome extension frontend using HTML/CSS/JavaScript and the Spring Boot backend in Java. I also integrated the Gemini API to generate smart summaries, handled API communication between the extension and server, and created the end-to-end workflow. Additionally, I wrote all documentation, structured the GitHub repo, and prepared the project for deployment and submission.

Vivek Kumar
Full stack developer with expertise in MERN (MongoDB, Express.js, React, Node.js) and Java-based technologies.

Updates

Vivek Kumar started this project — Jun 04, 2025 04:53 PM EDT

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