- Dinesh Buruboyina - - Established the Node.js backend and MongoDB schema; designed & implemented Business-Owner and search APIs with date/time/party-size filters; integrated authentication, input validation and reviews middleware; deployed the backend to AWS EC2 Auto Scaling + MongoDB Atlas; and prepared the component diagrams
- Sravani Linga - - Connected MongoDB to the backend and created the initial UI; implemented registration, login and profile APIs; integrated Google Maps with ZIP-code lookup; developed dynamic review submission/display features; hooked up the Admin dashboard to live data; polished overall UI/UX; and deployed the frontend to AWS S3 + CloudFront with accompanying deployment diagrams
- Tharun Chunchu - - Drafted the UI wireframes and designed Admin/Review schemas; implemented Review and Admin API endpoints; constructed the Restaurant page UI; designed and integrated the Admin dashboard (duplicate listing detection); added role-based JWT guards and owner booking/cancellation APIs; built analytical dashboard widgets; fixed UI/UX issues; and validated backend deployment
- SriVenkat Godithi - - Set up the React frontend with routing and initial components; built the static Home page and restaurant listings; developed Add/Edit/Delete restaurant UI flows with photo uploads and real-time validation; optimized responsive design and cross-browser compatibility; and carried out final UI testing and refinements
-
Authentication & Security
- JWT for stateless, role-based access control (Customer, Manager, Admin)
- bcrypt for password hashing
- HTTPS, CORS policies, and rate limiting on sensitive routes
-
External Integrations
- Google Maps Places API for geolocation & map embeds
- AWS S3 for storing and serving restaurant photos
- Nodemailer for booking confirmation emails/SMS
-
Deployment
- Frontend: React.js single‐page app, hosted on AWS S3 & CloudFront
- Backend: Node.js + Express APIs running on an Auto Scaling group of EC2 instances
- Database: MongoDB Atlas cluster
- File Storage: AWS S3 for restaurant image uploads
-
User Experience
- Mobile-first, responsive layouts
- Streamlined booking flow (search → select time slot → confirm)
- Real-time availability checks to avoid double-bookings
-
Design Patterns
- MVC: Separation of Controllers (Express routes), Services (business logic) and Models (Mongoose schemas)
- Singleton: Single shared MongoDB connection instance across modules
- Factory: Service factories to instantiate Mongoose models and helpers
- Sign Up & Login: (JWT authentication)
- Search: By date, time, party size, and location (city/state or ZIP)
- Availability Display: See open slots ±30 minutes, with restaurant name, cuisine, price tier, ratings, and today’s booking count
- Book & Cancel: tables with email/SMS confirmation
- Reviews: View reviews per restaurant
- Profile: view and update personal details
- Add / Edit Listing: Name, Address, Contact info, Operating hours, Available booking times, Table sizes
- Add/Update descriptions & photos: ReRestaurant description, photos
- Add a new listing: Restaurant profile with basic info Set up initial table configurations
- Login as Restaurant Manager: Secure session via JWT tokens
- Restaurant Approval: Approve new listings before they go live
- Reservation Dashboard: Daily view of incoming bookings, with accept/decline controls
- Platform Analytics: System-wide metrics on bookings, active users, and peak usage
- Node.js v16+
- npm v8+
- MongoDB v4+ (or MongoDB Atlas)
- Clone the repository
git clone https://github.com/gopinathsjsu/team-project-20201-hackstars.git
- Install dependencies
npm install- To start Backend
cd backend
mongod
npm run dev - To start Frontend
cd frontend
npm install
npm start - Project Journal: ProjectJournal-202.pdf
- XP & Core Values: 202_XP_CORE_VALUES.pdf
- Burndown Chart & Sprint Sheet: 202Burndown Chart.xlsx
- UI Wireframes: UI_WIREFRAMES.pdf
- Weekly Work Distribution: Weekly_Work_Distribution.pdf