feat: implement core chatbot engine and prompt builder modules for recommendation system

src/recommendation_engine/chatbot_engine.py

@@ -14,8 +14,8 @@ from src.recommendation_engine.command_handler import (
 from src.recommendation_engine.idea_generator import generate_ideas
 from src.recommendation_engine.feature_generator import generate_features
 
-from src.recommendation_engine.llm_client import generate_text
-from src.recommendation_engine.prompt_builder import build_chat_prompt
+from src.recommendation_engine.llm_client import generate_text, generate_list
+from src.recommendation_engine.prompt_builder import build_chat_prompt, build_niche_domains_prompt
 from src.recommendation_engine.response_formatter import format_response
 from src.recommendation_engine.state_manager import update_state
 from src.recommendation_engine.context_builder import extract_domain, DOMAIN_KEYWORDS
@@ -605,7 +605,12 @@ def chatbot(user_id: str, user_input: str):
                     "state": state
                 })
 
-                return "🎯 Enter a domain (AI, healthcare, fintech...)"
+                domain_list = "\n".join(f"- {d}" for d in DOMAIN_KEYWORDS.keys())
+                return (
+                    f"🎯 Here are the available domains:\n\n"
+                    f"{domain_list}\n\n"
+                    f"If your domain doesn't match any of these, you can choose 'Others'."
+                )
 
             elif text == "2":
 
@@ -1223,23 +1228,34 @@ Choose what you want:
     
     
     
-    if state.get("waiting_for_domain"):
-
-        text_lower = user_input.lower().strip()
-        question_words = ["what", "tell", "how", "list", "show", "can you", "help", "domain"]
-        is_question = any(q in text_lower for q in question_words) or "?" in text_lower
+    if state.get("waiting_for_niche_domain"):
+        domain = user_input.strip()
+        state["waiting_for_niche_domain"] = False
+        analysis["domain"] = domain
+        analysis["intent"] = "idea"
+        if "project_title" in analysis:
+            del analysis["project_title"]
         
-        if is_question and "other" not in text_lower:
-            # Return hardcoded domain list instead of using LLM
-            domain_list = "\n".join(f"- {d}" for d in DOMAIN_KEYWORDS.keys())
-            response = f"Here are the available domains you can choose from:\n\n{domain_list}"
-            
-            save_user_memory(user_id, {"history": history, "state": state})
-            return finalize_response(user_input, response, history, state, user_id)
+    elif state.get("waiting_for_domain"):
 
         detected = extract_domain(user_input)
 
-        if detected:
+        if detected == "Others":
+            state["waiting_for_domain"] = False
+            state["waiting_for_niche_domain"] = True
+            
+            niche_domains = generate_list(build_niche_domains_prompt(), task="idea")
+            
+            domain_list_str = "\n".join(f"- {d}" for d in niche_domains)
+            response = (
+                f"You selected 'Others'. Here are some highly niche and cutting-edge domain ideas generated just for you:\n\n"
+                f"{domain_list_str}\n\n"
+                f"Which one would you like to explore? (Or type your own!)"
+            )
+            save_user_memory(user_id, {"history": history, "state": state})
+            return finalize_response(user_input, response, history, state, user_id)
+            
+        elif detected:
             state["waiting_for_domain"] = False
             analysis["domain"] = detected
             analysis["intent"] = "idea"

src/recommendation_engine/prompt_builder.py

@@ -98,6 +98,19 @@ BAD FEATURE EXAMPLES:
 OUTPUT:
 """.strip()
 
+def build_niche_domains_prompt() -> str:
+    return """
+You are an AI innovation consultant.
+Generate 5 highly niche, unusual, and cutting-edge domains for graduation projects.
+Avoid standard domains like: AI, Machine Learning, Healthcare, Finance, Education, CyberSecurity, Cloud, E-Commerce, IoT.
+Give me just the names of the domains, one per line.
+Keep them concise (2-4 words).
+Example:
+- Quantum Cryptography
+- Deep Sea Robotics
+- Cognitive Brain-Computer Interfaces
+""".strip()
+
 def build_idea_prompt(
     context: Dict[str, Any],
     count: int = 10,