A modern research discovery and analytics platform designed to help students, researchers, and developers explore academic papers, analyze citation trends, and build structured research workflows.
ResearchNet combines intelligent paper discovery, citation analysis, authentication systems, and personalized research management into a scalable full-stack application built with modern web technologies.
Production Deployment: https://research-netcom.vercel.app/
ResearchNet is designed to simplify the process of discovering and organizing research papers while providing analytical insights into citation trends and research impact.
The platform focuses on:
- Real-time research discovery
- Citation trend visualization
- Research annotation and organization
- Secure authentication workflows
- Scalable full-stack architecture
- Modern responsive UI/UX
This project was built with a software engineering mindset emphasizing modular architecture, maintainability, scalability, and production-ready development practices.
- Intelligent paper search system
- Real-time academic indexing
- Topic-based filtering
- Research category exploration
- Fast retrieval and rendering
- Citation velocity tracking
- Research impact analysis
- Trend-oriented research discovery
- Analytical research insights
- OAuth Authentication
- GitHub Login
- Google Login
- Secure session handling
- Protected routes and middleware
- Personal research vault
- Annotation support
- Structured knowledge organization
- Saved research workflows
- Fully responsive UI
- Mobile-friendly layouts
- Modern dashboard architecture
- Optimized user experience
- Next.js
- Tailwind CSS
- TypeScript
- Responsive Component Architecture
- Next.js API Routes
- RESTful API Design
- Server-side Rendering
- MongoDB Atlas
- Scalable NoSQL document architecture
- Optimized query structures
- NextAuth.js
- OAuth Providers
- JWT-based session management
- Vercel
- Cloud deployment pipeline
- Environment variable configuration
┌─────────────────────────────────────┐
│ Client Layer │
│ Next.js + React + Tailwind CSS │
└─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────┐
│ API/Application Layer │
│ Next.js API Routes + Node.js │
└─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────┐
│ Authentication Layer │
│ NextAuth + OAuth Providers │
└─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────┐
│ Database Layer │
│ MongoDB Atlas │
└─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────┐
│ External Research APIs │
│ Citation & Research Sources │
└─────────────────────────────────────┘
The frontend follows a component-driven architecture using reusable UI modules and scalable routing patterns.
- Reusable component structure
- Separation of concerns
- Responsive design patterns
- Client/server rendering optimization
- Maintainable styling system
app/
├── components/
├── dashboard/
├── authentication/
├── research/
├── analytics/
└── api/
The backend is structured around modular API routes and scalable request handling.
- Authentication management
- Research data retrieval
- Citation analysis processing
- Database communication
- Secure API access
- Session validation
The system follows REST-inspired API design principles:
/api/auth
/api/research
/api/citations
/api/users
/api/annotations
MongoDB Atlas is used for scalable cloud-based storage.
- User profile storage
- Saved research management
- Annotation persistence
- Session handling
- Research metadata storage
- Flexible document schema
- High scalability
- Fast prototyping
- Cloud-native deployment
- Efficient handling of research metadata
ResearchNet implements secure OAuth authentication using NextAuth.
- User selects OAuth provider
- OAuth provider validates identity
- NextAuth manages secure sessions
- JWT/session tokens are generated
- Protected routes become accessible
- Environment variable protection
- Secure token management
- Route-level authorization
- Session persistence
- Protected API endpoints
This project was designed with scalability and maintainability in mind.
- Server-side rendering
- Efficient API fetching
- Modular component reuse
- Optimized database queries
- Lazy loading strategies
- CDN deployment through Vercel
- Production-ready structure
- Clean code organization
- Extensible architecture
- Research-oriented analytics support
- Cloud deployment compatibility
git clone https://github.com/SadiaBhaks/researchnet.gitcd researchnetnpm installCreate a .env.local file:
MONGODB_URI=your_mongodb_connection
NEXTAUTH_SECRET=your_secret
GOOGLE_CLIENT_ID=your_google_client_id
GOOGLE_CLIENT_SECRET=your_google_secret
GITHUB_ID=your_github_id
GITHUB_SECRET=your_github_secret
Gemini_API=your_Gemini_apinpm run devApplication will start at:
http://localhost:3000
ResearchNet is deployed using Vercel.
- Push code to GitHub
- Connect repository with Vercel
- Configure environment variables
- Automatic deployment pipeline
- Global CDN delivery
- Full-stack application architecture
- OAuth-based authentication system
- Scalable cloud database integration
- Research analytics dashboard concepts
- Production deployment workflow
- Responsive modern UI system
- Modular maintainable codebase
- AI-assisted research recommendations
- NLP-based paper summarization
- Citation graph visualization
- Collaborative research spaces
- Research export functionality
- Advanced filtering engine
- PostgreSQL analytics integration
- Research ranking algorithms
This project strengthened practical experience in:
- Full-stack software engineering
- Scalable application architecture
- Authentication systems
- API security practices
- Cloud database management
- Frontend system design
- Deployment pipelines
- Research-oriented platform development
Computer Science Student & Full Stack Software Engineer
Focused on scalable architectures, backend systems, research-oriented platforms, and intelligent software engineering solutions.