feat: add AI recommendations flow for tenders

Implement company AI onboarding/recommendation models, services, repository, and tender UI integration with supporting tests.

Co-authored-by: Cursor <cursoragent@cursor.com>

lib/data/services/model/recommendation_item/recommendation_item.dart

@@ -0,0 +1,24 @@
+// ignore_for_file: invalid_annotation_target
+
+import 'package:freezed_annotation/freezed_annotation.dart';
+
+part 'recommendation_item.freezed.dart';
+part 'recommendation_item.g.dart';
+
+/// A single AI tender recommendation returned by `POST /api/v1/recommend`.
+///
+/// [tenderId] is the backend tender id used with
+/// `GET /api/v1/tenders/details/:id`. [rank] is a display order string where
+/// `1` is the best match. All fields are nullable to stay resilient to partial
+/// API payloads.
+@freezed
+abstract class RecommendationItem with _$RecommendationItem {
+  const factory RecommendationItem({
+    required String? rank,
+    @JsonKey(name: 'tender_id') required String? tenderId,
+    required String? analysis,
+  }) = _RecommendationItem;
+
+  factory RecommendationItem.fromJson(Map<String, dynamic> json) =>
+      _$RecommendationItemFromJson(json);
+}