updated concerns in md file

Author: TamilRamGanesan-SF5080

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.MVC/ai-integrations/gemini-integration.md

@@ -20,7 +20,7 @@ Before integrating Gemini AI, ensure that the Syncfusion AI AssistView control i
 
 ## Prerequisites
 
-* Google account to generate API key on accessing `Gemini AI`.
+* Google account to generate API key on accessing [Gemini](https://ai.google.dev/gemini-api/docs).
 * [System requirements for ASP.NET MVC controls](https://ej2.syncfusion.com/aspnetmvc/documentation/system-requirements) to create MVC application
 
 ## Install Packages
@@ -43,7 +43,7 @@ NuGet\Install-Package Mscc.GenerativeAI
 
 ## Generate API Key
 
-1. Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and sign in with your Google account. If you don’t have one, create a new account.
+1. Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and sign in with your google account. If you don’t have one, create a new account.
 
 2. Once logged in, click on `Get API Key` from the left-hand menu or the top-right corner of the dashboard.
 
@@ -74,12 +74,12 @@ string apiKey = 'Place your API key here';
 {% endhighlight %}
 {% endtabs %}
 
-![Gemini AI](../../images/gemini-ai.png)
+![Gemini AI](../images/gemini-ai.png)
 
 ## Run and Test
 
 Run the application in the browser using the following command.
 
 Build and run the app (Ctrl + F5).
 
-Open `https://localhost:44321` to interact with your Gemini AI for dynamic response.
+Open the hosted link to interact with the Gemini AI for dynamic response

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.MVC/ai-integrations/openai-integration.md

@@ -10,7 +10,7 @@ documentation: ug
 
 # Integration of Azure Open AI With AI AssistView control
 
-The Syncfusion AI AssistView supports integration with [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai), enabling advanced conversational AI features in your Angular applications.
+The Syncfusion AI AssistView supports integration with [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai), enabling advanced conversational AI features in your MVC applications.
 
 ## Getting Started With the AI AssistView control
 
@@ -20,7 +20,7 @@ Before integrating Azure Open AI, ensure that the Syncfusion AI AssistView contr
 
 ## Prerequisites
 
-* An Azure account with access to `Azure Open AI` services and a generated API key.
+* An Azure account with access to [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai) services and a generated API key.
 * [System requirements for ASP.NET MVC controls](https://ej2.syncfusion.com/aspnetmvc/documentation/system-requirements) to create MVC application
 
 ## Install Packages
@@ -49,7 +49,7 @@ NuGet\Install-Package Azure.Core
 
 2. Under Resource Management, select Keys and Endpoint to retrieve your API key and endpoint URL.  
 
-3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version (e.g., 2024-07-01-preview) matches your resource configuration.
+3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version matches your resource configuration.
 
 4. Store these values securely, as they will be used in your application.
 
@@ -78,12 +78,12 @@ string deploymentName = "Your_Deployment_Name";
 {% endhighlight %}
 {% endtabs %}
 
-![Azure Open AI](../../images/open-ai.png)
+![Azure Open AI](../images/open-ai.png)
 
 ## Run and Test
 
 Run the application in the browser using the following command.
 
 Build and run the app (Ctrl + F5).
 
-Open `https://localhost:44321` to interact with your Azure Open AI for dynamic response.
+Open the Hosted link to interact with your Azure Open AI for dynamic response.

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.NETCORE/ai-integrations/gemini-integration.md

@@ -20,7 +20,7 @@ Before integrating Gemini AI, ensure that the Syncfusion AI AssistView control i
 
 ## Prerequisites
 
-* Google account to generate API key on accessing `Gemini AI`.
+* Google account to generate API key on accessing [Gemini](https://ai.google.dev/gemini-api/docs).
 * [System requirements for ASP.NET Core controls](https://ej2.syncfusion.com/aspnetmvc/documentation/system-requirements) to create Core application
 
 ## Install Packages
@@ -43,7 +43,7 @@ NuGet\Install-Package Mscc.GenerativeAI
 
 ## Generate API Key
 
-1. Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and sign in with your Google account. If you don’t have one, create a new account.
+1. Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and sign in with your google account. If you don’t have one, create a new account.
 
 2. Once logged in, click on `Get API Key` from the left-hand menu or the top-right corner of the dashboard.
 
@@ -74,12 +74,12 @@ string apiKey = 'Place your API key here';
 {% endhighlight %}
 {% endtabs %}
 
-![Gemini AI](../../images/gemini-ai.png)
+![Gemini AI](../images/gemini-ai.png)
 
 ## Run and Test
 
 Run the application in the browser using the following command.
 
 Build and run the app (Ctrl + F5).
 
-Open `https://localhost:44321` to interact with your Gemini AI for dynamic response.
+Open the hosted link to interact with the Gemini AI for dynamic response

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.NETCORE/ai-integrations/openai-integration.md

@@ -10,7 +10,7 @@ documentation: ug
 
 # Integration of Azure Open AI With AI AssistView control
 
-The Syncfusion AI AssistView supports integration with [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai), enabling advanced conversational AI features in your Angular applications.
+The Syncfusion AI AssistView supports integration with [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai), enabling advanced conversational AI features in your Core applications.
 
 ## Getting Started With the AI AssistView control
 
@@ -20,7 +20,7 @@ Before integrating Azure Open AI, ensure that the Syncfusion AI AssistView contr
 
 ## Prerequisites
 
-* An Azure account with access to `Azure Open AI` services and a generated API key.
+* An Azure account with access to [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai) services and a generated API key.
 * [System requirements for ASP.NET MVC controls](https://ej2.syncfusion.com/aspnetmvc/documentation/system-requirements) to create Core application
 
 ## Install Packages
@@ -49,7 +49,7 @@ NuGet\Install-Package Azure.Core
 
 2. Under Resource Management, select Keys and Endpoint to retrieve your API key and endpoint URL.  
 
-3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version (e.g., 2024-07-01-preview) matches your resource configuration. 
+3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version matches your resource configuration. 
 
 4. Store these values securely, as they will be used in your application.
 
@@ -78,12 +78,12 @@ string deploymentName = "Your_Deployment_Name";
 {% endhighlight %}
 {% endtabs %}
 
-![Azure Open AI](../../images/open-ai.png)
+![Azure Open AI](../images/open-ai.png)
 
 ## Run and Test
 
 Run the application in the browser using the following command.
 
 Build and run the app (Ctrl + F5).
 
-Open `https://localhost:44321` to interact with your Azure Open AI for dynamic response.
+Open the hosted link to interact with your Azure Open AI for dynamic response.

ej2-asp-core-mvc/ai-assistview/images/gemini-ai.png

@@ -10,7 +10,7 @@ documentation: ug
 
 # Microsoft Bot Framework With ASP.NET MVC Chat UI component
 
-The Syncfusion ASP.NET MVC Chat UI supports integration with a Microsoft Bot Framework bot hosted on Azure, enabling a custom chat interface for seamless user interaction. The process involves setting up a secure backend token server, configuring the bot in Azure, and integrating the Syncfusion Chat UI in an ASP.NET MVC application.
+The Syncfusion ASP.NET MVC Chat UI supports integration with a [Microsoft Bot Framework](https://learn.microsoft.com/en-us/azure/bot-service/bot-builder-basics?view=azure-bot-service-4.0) bot hosted on Azure, enabling a custom chat interface for seamless user interaction. The process involves setting up a secure backend token server, configuring the bot in Azure, and integrating the Syncfusion Chat UI in an ASP.NET MVC application.
 
 ## Getting Started With the Chat UI Component
 
@@ -20,7 +20,7 @@ Before integrating Microsoft Bot Framework, ensure that the Syncfusion Chat UI c
 
 ## Prerequisites
 
-* `Microsoft Azure Account`: Required to create and host the bot.
+* [Microsoft Azure Account](https://portal.azure.com/#home): Required to create and host the bot.
 * `Visual Studio`: With ASP.NET MVC development tools.
 * `Syncfusion EJ2 ASP.NET MVC`: Install Syncfusion.EJ2.MVC5 in your project.
 * `Deployed Azure Bot`: A bot should be created and published using the Bot Framework, accessible via an Azure App Service. Refer to [Microsoft's Bot Creation Guide](https://learn.microsoft.com/en-us/azure/bot-service/).
@@ -48,17 +48,17 @@ Install-Package Syncfusion.EJ2.MVC5
 
 1. In the [Azure Portal](https://portal.azure.com/#home), navigate to your bot resource.
 
-2. Enable the Direct Line channel:
+2. Enable the direct line channel:
     * Go to `Channels` > `Direct Line` > `Default-Site`.
     * Copy one of the displayed secret keys.
 
-3. Verify the Messaging endpoint in the Configuration section (e.g., https://your-bot-service.azurewebsites.net/api/messages).
+3. Verify the messaging endpoint in the configuration section (e.g., https://your-bot-service.azurewebsites.net/api/messages).
 
 > `Security Note`: Never expose the Direct Line secret key in frontend code. Use a backend token server to handle it securely.
 
 ##  Set Up Token Server
 
-Create a Web API controller in your ASP.NET MVC project to handle Direct Line token generation. Add `Controllers/TokenController.cs`:
+Create a Web API controller in your ASP.NET MVC project to handle direct line token generation. Add `Controllers/TokenController.cs`:
 
 {% tabs %}
 {% highlight cs tabtitle="TokenController.cs" %}
@@ -121,9 +121,9 @@ Add the Direct Line secret to `Web.config`:
 
 ## Integrate ChatUI in ASP.NET MVC
 
-Use the Chat UI `messageSend` event to handle message exchanges. This event is triggered before a message is sent, allowing you to forward it to the bot via the Direct Line API. Use the `addMessage` method to programmatically add the bot's reply to the Chat UI.
+Use the Chat UI `messageSend` event to handle message exchanges. This event is triggered before a message is sent, allowing you to forward it to the bot via the direct line API. Use the `addMessage` method to programmatically add the bot's reply to the Chat UI.
 
-Create `Views/Home/Index.cshtml` to integrate the Syncfusion Chat UI with the Direct Line API:
+Create `Views/Home/Index.cshtml` to integrate the Syncfusion Chat UI with the direct line API:
 
 {% tabs %}
 {% highlight Html tabtitle="Index.cshtml" %}
@@ -232,7 +232,7 @@ To enable CORS for API requests, add to `Web.config` under `<system.webServer>`:
 ### Start the Application:
 
 Run the project in Visual Studio or use IIS Express.
-Open your app in the browser (e.g., `http://localhost:port`) to interact with your Microsoft Bot Framework chatbot.
+Open your app in the browser Hosted link to interact with your Microsoft Bot Framework chatbot.
 
 ## Troubleshooting