AI Application with OpenAI Integration

🔰 Project Overview

This project involves the design and implementation of a cross-platform AI application leveraging OpenAI's powerful suite of tools. The application focuses on enhancing user interactions through intelligent chatbots, user-driven image generation, and language translation modules.

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🎥 Simple demo

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➤ Key Features

1. Intelligent Chatbots

• Developed intelligent chatbots capable of resolving user queries and generating informative responses.
• These chatbots are trained to adapt to various response models, enhancing their versatility and effectiveness in different scenarios.

2. User-Driven Image Generation with DALL.E

• Leveraging OpenAI's state-of-the-art DALL.E model, our application empowers users to drive image generation based on their creative prompts.
• By providing intuitive prompts, users can effortlessly generate visually captivating images, expanding the boundaries of creativity within our platform.

3. Language Translation Module

• Developed a language translation module to facilitate seamless communication across linguistic barriers.
• Users can input text in their preferred language, and the system translates it into the desired target language in real-time.
• This module enhances the accessibility and usability of the application for users worldwide.

4. Cross-Platform Compatibility

• The application is designed to run seamlessly across different platforms, ensuring accessibility for a wide range of users.

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🛠 Technologies and Frameworks Used

• Figma (for UI design)
• Flutter Framework (Dart language)
• OpenAI (Used API for image generation and intelligent chats)
• Provider (for state management)

⚡Usage/Examples

import 'package:flutter/material.dart';
void main() async {
  WidgetsFlutterBinding.ensureInitialized();
  await Firebase.initializeApp();
  runApp(MyApp());
}

//MyApp
class MyApp extends StatefulWidget {
  @override
  _MyAppState createState() => _MyAppState();
}

// Send prompt to API and get the response
static Future<List<ChatModel>> sendMessageToAPI(
      {required String message, required String modelName}) async {
    try {
      var response = await http.post(
          Uri.parse("https://api.openai.com/v1/chat/completions"),
          headers: {
            'Authorization': 'Bearer $OPENAI_API_KEY',
            'Content-Type': 'application/json'
          },
          body: jsonEncode({
            "model": modelName,
            "messages": [
              {"role": "user", "content": message}
            ]
          }));
      Map jsonResponse = jsonDecode(response.body);
.............
}

🚀 Installation

1. Clone the repository:

   git clone https://github.com/sahilpotdukhe/HeyTalkAI.git

2. Navigate to the project directory:

   cd echat

3. Install dependencies:

   flutter pub get

4. Run the app:

   flutter run
   

📋 Requirements

• Flutter SDK: Installation Guide
• OpenAI API: Usage
• Figma Account: Sign up for Figma

App Design

OnBoarding Screen 1

OnBoarding Screen 2

OnBoarding Screen 3

Home Screen

ChatBot

Image generator

Language Translator

Splash Screen

🤝 Contributing

Contributions are always welcome! If you have a suggestion that would make this better, please fork the repo and create a pull request. Don't forget to give the project a star! Thanks again!

• Fork the Project
• Create your Feature Branch (bash git checkout -b feature/AmazingFeature)
• Commit your Changes (bash git commit -m 'Add some AmazingFeature')
• Push to the Branch (bash git push origin feature/AmazingFeature)
• Open a Pull Request

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➤ Contact

You can reach out to me via the following methods:

• Email:   sahilpotdukhe.ssp@gmail.com
• Social Media:
  •   LinkedIn
  •   GitHub
  •   Instagram
  •   Twitter

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