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AI / Conversational AI

OminChat

A modern general-purpose conversational AI assistant

A modern conversational AI assistant with real-time streaming, multi-chat conversations, reusable prompt templates, rich AI responses, configurable generation settings, and a responsive user experience.

  • Next.js
  • Geneartive AI
  • Google Gemini
  • React
  • TypeScript
  • React Markdown
  • Tailwind CSS

Overview

Project Overview

OmniChat is a modern general-purpose conversational AI application designed to provide a polished, responsive experience for interacting with large language models. The platform combines real-time streaming conversations with multi-chat management, searchable conversation history, reusable prompt templates, configurable generation controls, Markdown and code rendering, and responsive support across desktop, tablet, and mobile.

Services provided

  • Generative AI Development
  • AI Chatbot Development
  • Conversational AI Development
  • Full-Stack Web Development
  • LLM Integration
  • AI Product Development
  • UI/UX Implementation
Client
Self-Initiated / Personal Project
Industry
Artificial Intelligence / Software Development
Timeline
Multiple development sessions
Year
2026
Platforms
Web ? Responsive Web Application
Team
3 Developers — Collaborative AI Product Team

Challenge

The Challenge

Creating a useful conversational AI application requires more than connecting a frontend to an LLM API. The challenge was to build a complete and polished chat experience capable of handling real-time generation, multiple conversations, persistent state, configurable AI behavior, reusable prompts, rich content rendering, and responsive interaction.

  • Design a modern conversational AI interface

  • Implement real-time streaming responses

  • Manage multiple independent conversations

  • Persist conversation state locally

  • Provide configurable AI generation settings

  • Create a reusable prompt template system

  • Render Markdown and syntax-highlighted code

  • Support responsive desktop, tablet, and mobile layouts

  • Provide reliable loading, error, and delete-confirmation states

  • Keep the architecture modular and extensible for future AI capabilities

Solution

What We Built

OmniChat was implemented as a modular Next.js application with centralized conversation state management, a dedicated AI service layer, reusable UI components, and client-side persistence. The architecture separates the chat interface, application state, AI integration, content rendering, and supporting functionality, providing a foundation that can be extended into more advanced AI systems.

  • Created a dedicated AI service layer for LLM communication

  • Built the application with Next.js, React, TypeScript, and Tailwind CSS

  • Implemented streaming and non-streaming AI responses

  • Added multi-turn conversation history

  • Centralized chat and settings state using React Context

  • Implemented local conversation persistence

  • Added searchable conversation history

  • Built reusable categorized prompt templates

  • Added Markdown and syntax-highlighted code rendering

  • Added configurable generation controls

  • Implemented dark/light themes

  • Added responsive navigation and layouts

  • Added conversation export functionality

  • Structured the application for future RAG, tool-use, agentic workflows, and multi-model capabilities

Capabilities

Key Features

What OminChat does in day-to-day use.

  • Real-Time AI Streaming

    AI responses are progressively streamed into the conversation to create a responsive, real-time interaction experience.

  • Multi-Conversation Management

    Users can create, switch between, search, and delete independent conversations.

  • Persistent Chat History

    Conversation data is automatically persisted locally so users can return to previous conversations.

  • Conversation data is automatically persisted locally so users can return to previous conversations.

    Users can configure supported model settings, temperature, maximum token limits, and streaming behavior.

  • Prompt Template Library

    A categorized collection of reusable prompts helps users quickly start common development, writing, learning, and creative workflows.

  • Rich AI Responses

    AI output supports Markdown formatting, structured content, syntax-highlighted code, and one-click code copying.

  • Responsive Interface

    The application adapts to desktop, tablet, and mobile screen sizes with responsive navigation and layouts.

  • Dark & Light Themes

    Users can switch between dark and light visual themes for a personalized experience.

  • Conversation Export

    Users can export conversations as text for external use or archiving.

Stack

Technology Stack

The tools this system runs on, grouped by the role they play.

  • Frontend

    • Next.js 16
    • React 19
    • TypeScript
    • Tailwind CSS

  • State Management

    • React Context API

  • AI

    • Large Language Model Integration
    • Streaming Generation
    • Multi-turn Conversations
    • Google Gemini API

  • UI & Rendering

    • React Markdown
    • React Syntax HIghlighter
    • Lucid React

  • Storage

    • Browser localStorage

Outcome

Results

What changed for the business after launch.

  • 50+

    Features Implemented

    A complete conversational AI experience covering real-time streaming, multi-chat management, searchable history, prompt templates, configurable AI settings, rich Markdown and code rendering, responsive layouts, themes, export, and more.

  • 3000+

    Lines ofCode

    A substantial full-stack implementation covering the conversational interface, reusable components, state management, AI integration, responsive UI, settings, templates, and supporting functionality.

  • 12

    Prompt Templates

    A reusable prompt library organized across development, writing, learning, and creative workflows to help users start common AI tasks quickly.

  • 20+

    Project Files

    A modular application structure separating pages, reusable UI components, state management, AI services, templates, types, configuration, and supporting assets.

  • 3

    Responsive Platforms

    The interface was designed and optimized for desktop, tablet, and mobile experiences with responsive navigation, layouts, and interaction patterns.

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