VVP_2025/AI_Planning.py at main · Codegemini1/VVP_2025 · GitHub

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class AIPlanner:
    def __init__(self, knowledge_base):
        self.kb = knowledge_base
        self.learning_paths = self._initialize_learning_paths()

    def _initialize_learning_paths(self):
        return {
            "AI Engineer": [
                {"step": 1, "action": "Python शिका",
                    "duration": "2 महिने", "priority": "High"},
                {"step": 2, "action": "Machine Learning मूलतत्त्वे शिका",
                    "duration": "3 महिने", "priority": "High"},
                {"step": 3, "action": "Deep Learning frameworks (TensorFlow/PyTorch) शिका",
                 "duration": "2 महिने", "priority": "Medium"},
                {"step": 4, "action": "AI प्रकल्प तयार करा",
                    "duration": "1 महिना", "priority": "High"},
                {"step": 5, "action": "GitHub वर portfolio तयार करा",
                    "duration": "2 आठवडे", "priority": "Medium"},
                {"step": 6, "action": "Internship साठी अर्ज करा",
                    "duration": "1 महिना", "priority": "High"}
            ],
            "Data Scientist": [
                {"step": 1, "action": "Python आणि pandas शिका",
                    "duration": "2 महिने", "priority": "High"},
                {"step": 2, "action": "Statistics आणि Data Analysis शिका",
                    "duration": "3 महिने", "priority": "High"},
                {"step": 3, "action": "Data Visualization (Matplotlib, Seaborn) शिका",
                 "duration": "1 महिना", "priority": "Medium"},
                {"step": 4, "action": "Machine Learning algorithms शिका",
                    "duration": "2 महिने", "priority": "High"},
                {"step": 5, "action": "Real-world data प्रकल्प करा",
                    "duration": "2 महिने", "priority": "High"},
                {"step": 6, "action": "Kaggle competitions मध्ये सहभागी व्हा",
                    "duration": "1 महिना", "priority": "Medium"}
            ],
            "Web Developer": [
                {"step": 1, "action": "HTML, CSS आणि JavaScript शिका",
                    "duration": "2 महिने", "priority": "High"},
                {"step": 2, "action": "Frontend framework (React) शिका",
                 "duration": "2 महिने", "priority": "High"},
                {"step": 3, "action": "Backend development (Node.js) शिका",
                 "duration": "2 महिने", "priority": "Medium"},
                {"step": 4, "action": "Database (MongoDB/SQL) शिका",
                 "duration": "1 महिना", "priority": "Medium"},
                {"step": 5, "action": "Web application तयार करा",
                    "duration": "2 महिने", "priority": "High"},
                {"step": 6, "action": "Portfolio website तयार करा",
                    "duration": "1 महिना", "priority": "High"}
            ],
            "Research Scientist": [
                {"step": 1, "action": "Research methodology शिका",
                    "duration": "3 महिने", "priority": "High"},
                {"step": 2, "action": "Academic writing सराव करा",
                    "duration": "2 महिने", "priority": "High"},
                {"step": 3, "action": "Advanced mathematics शिका",
                    "duration": "4 महिने", "priority": "High"},
                {"step": 4, "action": "Research paper वाचा आणि समजून घ्या",
                    "duration": "2 महिने", "priority": "Medium"},
                {"step": 5, "action": "Research proposal तयार करा",
                    "duration": "1 महिना", "priority": "High"},
                {"step": 6, "action": "Academic conferences मध्ये सहभागी व्हा",
                    "duration": "2 महिने", "priority": "Medium"}
            ]
        }

    def generate_plan(self, career_name: str, student_skills: List[str]) -> Dict[str, Any]:
        if career_name not in self.learning_paths:
            return {"error": "Career not found"}

        base_plan = self.learning_paths[career_name].copy()
        career = self.kb.careers[career_name]

        # Customize plan based on existing skills
        customized_plan = []
        for step in base_plan:
            # Check if student already has relevant skills for this step
            step_skill_match = any(
                skill in student_skills for skill in career.required_skills)
            if not step_skill_match or "शिका" in step["action"]:
                customized_plan.append(step)

        return {
            "career": career_name,
            "total_steps": len(customized_plan),
            "estimated_duration": self._calculate_total_duration(customized_plan),
            "plan": customized_plan,
            "missing_skills": list(set(career.required_skills) - set(student_skills))
        }

    def _calculate_total_duration(self, plan: List[Dict]) -> str:
        total_months = 0
        for step in plan:
            duration = step["duration"]
            if "महिने" in duration:
                months = int(duration.split()[0])
                total_months += months
            elif "आठवडे" in duration:
                weeks = int(duration.split()[0])
                total_months += weeks / 4

        return f"{total_months} महिने"