Internia is an intelligent platform designed to help students discover and explore research papers based on their academic interests. By leveraging user feedback and interests, Internia creates a personalized learning path for students interested in pursuing research internships.
- Select from multiple fields of interest
- Receive personalized paper recommendations
- Discover interdisciplinary research opportunities
- Like or dislike papers to refine recommendations
- Save interesting papers for later reference
- Track your paper reading history
- Access only open-access papers
- English-language papers only
- Detailed paper information including:
- Publication dates
- Author information
- DOI links
- Abstracts
- Next.js 14
- TypeScript
- Tailwind CSS
- NextAuth.js for authentication
- Vercel Analytics
- Python FastAPI
- MongoDB
- Semantic Scholar API integration
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Initial Setup
- Sign in with your account
- Select your fields of interest
- Receive initial paper recommendations
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Paper Discovery
- Browse recommended papers
- Rate papers (like/dislike)
- Save interesting papers
- View paper details and abstracts
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Recommendation Refinement
- System learns from your interactions
- Recommendations become more targeted
- Discover related research areas
- Semantic Scholar API for research paper data
- MongoDB Atlas for database hosting
For questions or support, please reach out to aravjaiman@outlook.com