ResearchPilotAI

ResearchPilotAI helps researchers save time by automatically analyzing multiple research papers. Instead of manually reading each paper, users upload their PDFs, and the application extracts the content using AI. It then generates a structured literature review including summaries, methodology comparisons, key findings, research trends, contradictions, research gaps, and future research opportunities.

The application is designed to simplify the literature review process for students, researchers, and academics by organizing information from multiple papers into a clear and easy-to-understand format. What it does: Upload multiple research papers (PDFs) AI-powered paper analysis Automatic literature review generation Research gap identification Method comparison Future research suggestions Organized and user-friendly interface How we built it Frontend HTML CSS JavaScript Backend Python FastAPI AI OpenAI API Challenges we ran into Handling multiple PDF uploads efficiently. Extracting useful information from research papers with different formats. Organizing AI responses into structured literature review sections. Building a responsive interface while integrating the backend with AI services. Accomplishments we're proud of Successfully developed an end-to-end AI literature review assistant. Reduced the effort required to compare multiple research papers. Built a clean interface that allows researchers to upload papers and receive structured insights quickly. What we learned Integrating AI with FastAPI applications. Handling document processing workflows. Building an AI-assisted research tool from idea to working prototype.

Built With

• css
• fastapi
• html
• javascript
• openaiapi
• python