Update: ResearchGap AI now uses Gemini 2.5 Flash-Lite as the inference model for the live demo.
After testing multiple Gemini models, I switched to Flash-Lite for the public deployment to improve responsiveness and support more concurrent users while keeping the core research analysis workflow intact.
ResearchGap AI can still: -Analyze up to 3 research papers
- Generate concise summaries
- Identify research gaps
- Compare methodologies and findings
- Suggest novel research directions
I'm continuing to experiment with different models and optimizations to improve both output quality and scalability.