ResearchGPT

Inspiration

The need to make it easier to understand personal documents and research publications is what gave rise to ResaerchGPT. People frequently have trouble sifting through lengthy texts to find the core ideas and important insights. By using AI and LLMs to give consumers clear summaries and useful information, ResearchGPT intends to close this information gap.

How it works

Users of ResearchGPT can upload academic publications and PDF files and use an integrated search function; these data are then analysed by cutting-edge AI algorithms.

How it was created

Frontend and backend technologies are combined to create ResearchGPT. Modern web development tools like Next JS and React are used to create the frontend, and Next JS and Cloud SDK are used to create the backend. AI component uses

Obstacles we faced

I had trouble integrating the cloud server because it had a lot of issues. It was difficult for me to create the PDF viewer as well.

Things we've done that we're proud of

Using LLMs and GPT to help everyone, including instructors, students, and researchers, understand difficult material Friendly User Interface: We designed a user interface that is simple to use, prioritises usability, and improves the overall user experience. Integrating the cloud: Users may safely store and retrieve their data thanks to the smooth integration of the cloud SDK, increasing the application's usability and accessibility. What we learnt I learned how to create my own PDF viewer, and I learned how to store data on a cloud server and retrieve it when needed.