01 / AI • FULL-STACK • CLOUD
Personal AI Assistant
A full-stack AI-powered personal assistant that enables users to chat with AI, maintain conversation history, manage memories, upload files and images, and receive AI-generated responses through a responsive web interface.
ROLE
Full-Stack Developer
ARCHITECTURE
Full-Stack
DEPLOYMENT
Cloud
01 / OVERVIEW
Building a modern AI-powered assistant.
This application combines a modern Next.js frontend with an ASP.NET Core Web API backend, PostgreSQL persistence and Google Gemini AI integration.
The system is designed around a full-stack architecture where the frontend provides the user experience, while the backend manages APIs, authentication, data persistence and AI communication.
02 / ARCHITECTURE
System Architecture
Next.js frontend connected to an ASP.NET Core Web API, with PostgreSQL persistence and Google Gemini AI integration.
Frontend
Next.js, React, TypeScript and Tailwind CSS.
Backend
ASP.NET Core Web API with C# and RESTful APIs.
Data & AI
PostgreSQL persistence with Google Gemini AI integration.
03 / FEATURES
Core Capabilities
AI-powered conversational chat
Conversation history
AI memory management
JWT authentication
Real-time AI response streaming
File and image uploads
Responsive web interface
RESTful backend APIs
PostgreSQL data persistence
Cloud deployment
04 / TECHNOLOGY
Technology Stack
FRONTEND
BACKEND
DATABASE
AI & AUTH
05 / DEPLOYMENT
Cloud Deployment
Frontend deployed on Vercel
Backend deployed on Render
PostgreSQL database
06 / ROLE
Full-Stack Developer
Responsible for designing and developing the full-stack application across frontend, backend APIs, database integration and AI functionality.