Organize workspace: Frontend, Backend, and Tests in one repo

Seasoned.Backend/Services/RecipeService.cs

@@ -0,0 +1,49 @@
+using Seasoned.Backend.DTOs;
+using Mscc.GenerativeAI;
+using Microsoft.AspNetCore.Http;
+using System.IO;
+
+namespace Seasoned.Backend.Services;
+
+public class RecipeService : IRecipeService
+{
+    private readonly string _apiKey;
+
+    public RecipeService(IConfiguration config)
+    {
+        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
+    }
+
+    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
+    {
+        var googleAI = new GoogleAI(_apiKey);
+        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 
+
+        using var ms = new MemoryStream();
+        await image.CopyToAsync(ms);
+        var base64Image = Convert.ToBase64String(ms.ToArray());
+
+        // 1. Better Prompt: Tell Gemini exactly what the JSON should look like
+        var prompt = @"Extract the recipe from this image. 
+        Return a JSON object with exactly these fields:
+        {
+        ""title"": ""string"",
+        ""description"": ""string"",
+        ""ingredients"": [""string""],
+        ""instructions"": [""string""]
+        }";
+        
+        // 2. Set the Response MIME Type to application/json
+        var config = new GenerationConfig { ResponseMimeType = "application/json" };
+        var request = new GenerateContentRequest(prompt, config);
+        request.AddMedia(base64Image, "image/png");
+
+        var response = await model.GenerateContent(request);
+
+        // 3. Use System.Text.Json to turn that string back into our DTO
+        var options = new System.Text.Json.JsonSerializerOptions { PropertyNameCaseInsensitive = true };
+        var result = System.Text.Json.JsonSerializer.Deserialize<RecipeResponseDto>(response.Text, options);
+
+        return result ?? new RecipeResponseDto { Title = "Error parsing JSON" };
+    }
+}