The Telnwa Investment Application is a full-stack, role-based real estate investment platform that allows tenants to book properties, make secure payments, submit maintenance requests, and communicate with admins in real time. It also provides landlords and admins with tools to manage leases, payments, and analytics. The application integrates Django for the backend, React for the front end, and Stripe for payments.

🔹 Backend Development (Django)

• Built secure APIs for property listings, lease agreements, payments, and maintenance requests.
• Integrated JWT authentication & RBAC for role-based access control.

🔹 Frontend Development (React & Next.js)

• Created responsive tenant & admin dashboards with dynamic property filtering.
• Integrated payment processing UI for rent collection.

🔹 Real-Time Features & Messaging

• Implemented WebSockets for instant messaging between tenants & admins.

🔹 Security & Compliance

• GDPR-compliant data handling & audit logs for legal compliance.

🔹 Performance Optimisation

• Used database indexing, query optimisation, and caching for faster API responses.

1️⃣ Implementing Secure Role-Based Authentication

• Users include tenants, landlords, and admins, each requiring different access levels.

• Solution: Implemented JWT authentication and role-based access control (RBAC) to restrict users to their appropriate dashboards.

2️⃣ Handling Lease Agreements & Payments

• Needed a way to manage admin leases and handle one-time & subscription-based rent payments securely.

• Solution: Integrated Stripe, implemented automated subscriptions for long-term remt, and created PDF-signed lease agreements stored securely.

3️⃣ Preventing Double-Booking & Race Conditions

• Multiple tenants could attempt to book the same property simultaneously.

• Solution: Used optimistic locking & concurrency control to prevent overbooking.

4️⃣ Ensuring Real-Time Communication

• Needed instant messaging between tenants and admins for maintenance requests & enquiries.

• Solution: Implemented WebSockets (Django Channels) for real-time chat.

5️⃣ Optimizing Performance for Scalability

• Handling high traffic loads with complex property search filters.

• Solution: Used database indexing, caching, and paginated API responses to optimize performance.

• Mastered Role-Based Access Control (RBAC)

  • Implemented granular access control to manage admin, landlord, and tenant permissions.

• Developed Real-Time Features with WebSockets

  • Built instant messaging and live notifications using Django Channels & WebSockets.

• Enhanced Security for Payments & Fraud Prevention

  • Implemented automated fraud detection & multi-layer payment validation.

• Optimised API Performance with Caching & Query Optimisation

  • Reduced database load using Redis caching and indexed queries.