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Update main.py
Browse files
main.py
CHANGED
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@@ -119,10 +119,106 @@ from groq import Groq
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app = FastAPI()
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handler = Mangum(app)
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# Pydantic model for request
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class ScoreInput(BaseModel):
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score_percentages: Dict[str, float]
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time_percentages: Dict[str, float]
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# Helper functions
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def get_final_score(score_percentages: Dict[str, float], time_percentages: Dict[str, float]) -> Dict[str, float]:
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@@ -157,12 +253,32 @@ async def analyze_scores(input_data: ScoreInput):
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final_score = get_final_score(input_data.score_percentages, input_data.time_percentages)
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strengths, opportunities, challenges = get_strengths_and_weaknesses(final_score)
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# Groq API call
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api_key2 = os.getenv("GROQ_API_KEY")
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if not api_key:
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raise HTTPException(status_code=500, detail="Groq API key not found")
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client2 = Groq(api_key=api_key2)
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sys_prompt = f"""You are an advanced language model trained to analyze student responses from a questionnaire on Academic, Cognitive, and Study Profile aspects related to JEE Mains preparation. Your task is to generate a personalized SCO (Strengths, Challenges, Opportunities) analysis and an Action Plan section based on the user's inputs.
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You have been provided with the strengths {strengths}, Opportunities {opportunities} and Challenges {challenges} skills of the user
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Output Structure:
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@@ -196,21 +312,86 @@ async def analyze_scores(input_data: ScoreInput):
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7) Bold text where you are taking chapter names from Physics , Chemsitry and Maths only which are in syllabus of Joint Entrance Examination.
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8) Dont use "+" or any other special symbol whenever you want to break a line use "\n" to do it in the output.
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"""
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-
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try:
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-
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messages=[
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{"role": "system", "content": sys_prompt},
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{"role": "user", "content": f"Generate the SOCA analysis based on the system prompt and {strengths}, {opportunities} and {challenges}. MAKE SURE WE STRICTLY FOLLOW THE STRUCTURE."},
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],
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model="llama3-70b-8192",
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)
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-
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Error calling Groq API: {str(e)}")
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-
return {"analysis":
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if __name__ == "__main__":
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import uvicorn
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app = FastAPI()
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handler = Mangum(app)
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+
#SOCA V1 CODE START
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api_key1 = os.getenv('GROQ_API_KEY')
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config = {
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'llm': {
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'provider': 'groq',
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'config': {
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'model':'llama3-70b-8192',
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'top_p': 0.5,
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'api_key': api_key,
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'stream': True
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}
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},
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'embedder': {
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'provider': 'huggingface',
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'config': {
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'model': 'sentence-transformers/all-mpnet-base-v2'
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}
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}
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}
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swot_bot = App.from_config(config=config)
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swot_bot.add("web_page","https://www.allen.ac.in/engineering/jee-main/tips-tricks/")
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# swot_bot.add("https://motion.ac.in/blog/jee-main-weightage-chapter-wise/")
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swot_bot.add("https://www.allen.ac.in/engineering/jee-main/preparation-strategy/")
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#swot_bot.add("https://byjus.com/jee/how-to-prepare-for-jee-at-home/")
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swot_bot.add("https://www.askiitians.com/iit-jee/how-to-prepare-for-iit-jee-from-class-11.html")
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# swot_bot.add("https://byjus.com/jee/complete-study-plan-to-crack-jee-main/")
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#swot_bot.add("https://mystudycart.com/iit-jee-preparation")
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swot_bot.add("https://engineering.careers360.com/articles/how-prepare-for-jee-main")
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swot_bot.add("https://www.allenoverseas.com/blog/jee-main-2024-exam-strategies-subject-wise-preparation-tips/")
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swot_bot.add("https://www.vedantu.com/jee-main/topics")
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swot_bot.add("https://www.pw.live/exams/wp-content/uploads/2024/01/syllabus-for-jee-main-2024-as-on-01-november-2023-1-3.pdf")
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swot_bot.add("https://www.pw.live/exams/wp-content/uploads/2024/01/syllabus-for-jee-main-2024-as-on-01-november-2023-4-8.pdf")
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swot_bot.add("https://www.pw.live/exams/jee/jee-main-chemistry-syllabus/")
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swot_bot.add("https://www.pw.live/topics-chemistry-class-11")
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swot_bot.add("https://www.pw.live/topics-chemistry-class-12")
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system_prompt = """You are an advanced language model trained to analyze student responses from a questionnaire on Academic, Cognitive, and Study Profile aspects related to JEE Mains preparation. Your task is to generate a personalized SCO (Strengths, Challenges, Opportunities) analysis and an Action Plan section based on the user's inputs.
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+
Questionnaire Structure:
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Academic Profile:
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- Confidence scores in various subjects/topics and subtopics covered in JEE Mains (e.g., Physical Chemistry: Electrochemistry, Redox Reactions; Inorganic Chemistry: Transition Elements, Periodic Table, Representative Elements)
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Cognitive Profile:
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- Learning styles (visual, auditory, kinesthetic)
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- Problem-solving abilities
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- Time management skills
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- Attention span and focus
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Study Profile:
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- Study habits (consistent/irregular, self-study/coaching)
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- Average study hours per day
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- Revision strategies
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- Test-taking strategies
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Given: You have been provided with the weightages of different topics/subjects in the JEE Mains exam and common knowledge specific to the JEE context. Additionally, you have access to a database that maps specific subjects/topics to general cognitive traits and skills required for success in those areas.
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Output Structure:
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SCO Analysis:
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Strengths:
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- List the student's strengths based on their high confidence scores, favorable cognitive abilities, and effective study habits.
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- Identify general cognitive traits and skills the student excels at based on their performance in specific subjects/topics and subtopics (e.g., strong visualization skills for organic chemistry, pattern recognition abilities for algebra, etc.)
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- Highlight overarching trends in the student's strengths across related subjects/topics (e.g., strong in Physical Chemistry but struggles in Inorganic Chemistry)
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Challenges:
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- Identify the areas where the student faces difficulties based on low confidence scores, cognitive limitations, and ineffective study habits.
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- Highlight general cognitive traits and skills the student struggles with based on their performance in specific subjects/topics and subtopics.
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- Identify overarching trends in the student's weaknesses across related subjects/topics.
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Opportunities:
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- Suggest opportunities for improvement by leveraging the student's strengths and addressing their challenges.
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- Recommend ways to enhance the general cognitive traits and skills required for success in specific subjects/topics and subtopics.
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Action Plan:
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- Provide a detailed, subject/topic/subtopic-specific action plan tailored to the student's SCO analysis.
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- Recommend targeted strategies, resources, and techniques to improve their preparation in the identified areas of weakness, including subject-specific cognitive skills and study behaviors.
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- Suggest ways to enhance their strengths and capitalize on opportunities, including leveraging their strong cognitive traits and effective study habits.
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- Incorporate time management, revision, and test-taking strategies specific to JEE Mains and the identified subjects/topics/subtopics.
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- Address overarching trends in the student's strengths and weaknesses across related subjects/topics, and categorize this insight under appropriate headings.
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Your analysis and action plan should be comprehensive, consistent, and tailored to the individual student's responses while leveraging your knowledge of the JEE Mains exam context, the mapping of subjects/topics to general cognitive traits and skills, and the ability to identify overarching trends across related subjects/topics."""
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#SOCA v1 CODE END
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# Pydantic model for request
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class ScoreInput(BaseModel):
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score_percentages: Dict[str, float]
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time_percentages: Dict[str, float]
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#SOCA v1 Inputs
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confidence_scores_str: str
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problem_solving_approach: str
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thorough_understanding: str
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feedback: str
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misconception: str
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time_management: str
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time_division: str
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mock_test_frequency: str
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progress_monitoring: str
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study_methods: str
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study_techniques: str
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# Helper functions
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def get_final_score(score_percentages: Dict[str, float], time_percentages: Dict[str, float]) -> Dict[str, float]:
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final_score = get_final_score(input_data.score_percentages, input_data.time_percentages)
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strengths, opportunities, challenges = get_strengths_and_weaknesses(final_score)
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#SOCA v1 Code Output
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user_response = f"""Confidence score of the student across different subjects out of 10 :{getattr(user_prompt, 'confidence_scores_str')},
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'When faced with complex,multi-stemp problems in JEE, how likely are you to approach problem-solving systematically, breaking down each step ?':{getattr(user_prompt, 'problem_solving_approach')},
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'In your JEE preparation, how likely are you to ensure thorough understanding of fundamental concepts before moving on to advanced topics ?':{getattr(user_prompt, 'thorough_understanding')},
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'How likely are to integrate feedback from practice tests or teachers into your JEE preparation strategy ?':{getattr(user_prompt, 'feedback')},
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'When encountering a misconception or misunderstanding in a JEE concept, how likely are you to identify and resolve it ?': {getattr(user_prompt, 'misconception')},
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'How likely are you to effectively manage time during JEE exams, especially in sections with limited time constraints?':{getattr(user_prompt, 'time_management')},
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'How do you divide your study time among Physics, Chemistry and Mathematics for JEE ? (Allocate Percentage)': {getattr(user_prompt, 'time_division')},
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'How often do you use mock tests and past question papers for JEE preparation ?': {getattr(user_prompt, 'mock_test_frequency')},
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'How do you monitor your progress in JEE topics or chapters?': {getattr(user_prompt, 'progress_monitoring')},
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'How do you adjust your study methods for difficult or new JEE topics ?': {getattr(user_prompt, 'study_methods')},
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'What techniques do you use to remember JEE concepts and formulas for a long time ? eg: Flashcards, Mindmap, etc.': {getattr(user_prompt, 'study_techniques')}"""
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outputSOCAv1 = swot_bot.query(system_prompt + user_response)
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# Groq API call
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api_key2 = os.getenv("GROQ_API_KEY")
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if not api_key:
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raise HTTPException(status_code=500, detail="Groq API key not found")
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client2 = Groq(api_key=api_key2)
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client3 = Groq(api_key=os.getenv("GROQ_API_KEY"))
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sys_prompt = f"""You are an advanced language model trained to analyze student responses from a questionnaire on Academic, Cognitive, and Study Profile aspects related to JEE Mains preparation. Your task is to generate a personalized SCO (Strengths, Challenges, Opportunities) analysis and an Action Plan section based on the user's inputs.
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You have been provided with the strengths {strengths}, Opportunities {opportunities} and Challenges {challenges} skills of the user
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Output Structure:
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7) Bold text where you are taking chapter names from Physics , Chemsitry and Maths only which are in syllabus of Joint Entrance Examination.
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8) Dont use "+" or any other special symbol whenever you want to break a line use "\n" to do it in the output.
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"""
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try:
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chat_completion2 = client2.chat.completions.create(
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messages=[
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{"role": "system", "content": sys_prompt},
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{"role": "user", "content": f"Generate the SOCA analysis based on the system prompt and {strengths}, {opportunities} and {challenges}. MAKE SURE WE STRICTLY FOLLOW THE STRUCTURE."},
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],
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model="llama3-70b-8192",
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)
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outputSOCAv2= chat_completion2.choices[0].message.content
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Error calling Groq API: {str(e)}")
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system_promptMerge = f""" ROLE 1 : You are an advanced language model trained to analyze student responses from a questionnaire on Academic, Cognitive, and Study Profile aspects related to JEE Mains preparation. Your task is to generate a personalized SCO (Strengths, Challenges, Opportunities) analysis and an Action Plan section based on the user's inputs.
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+
Questionnaire Structure:
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Academic Profile:
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- Confidence scores in various subjects/topics and subtopics covered in JEE Mains (e.g., Physical Chemistry: Electrochemistry, Redox Reactions; Inorganic Chemistry: Transition Elements, Periodic Table, Representative Elements)
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Cognitive Profile:
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- Learning styles (visual, auditory, kinesthetic)
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- Problem-solving abilities
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- Time management skills
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- Attention span and focus
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Study Profile:
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- Study habits (consistent/irregular, self-study/coaching)
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- Average study hours per day
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- Revision strategies
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- Test-taking strategies
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Given: You have been provided with the weightages of different topics/subjects in the JEE Mains exam and common knowledge specific to the JEE context. Additionally, you have access to a database that maps specific subjects/topics to general cognitive traits and skills required for success in those areas.
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The Analysis of Role 1 is given is {outputSOCAv1}.
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ROLE 2 : You are an advanced language model trained to analyze student responses from a questionnaire on Academic, Cognitive, and Study Profile aspects related to JEE Mains preparation. Your task is to generate a personalized SCO (Strengths, Challenges, Opportunities) analysis and an Action Plan section based on the user's inputs.
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You have been provided with the strengths {strengths}, Opportunities {opportunities} and Challenges {challenges} skills of the user
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The Analysis of Role 2 is {outputSOCAv2}
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Now you have to merge both the outputs of Role 1 and Role 2 and validate them also with each other .
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You are an Expert Joint Entrance Examination teacher who has to generate the Strengths , Oppourtunities , Challenges and Action Plan of a user.
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"""
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OutputStructure="""SCO Analysis:
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Strengths:
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- List the student's strengths based on their strengths skills
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- Let the student now how they can use these strengths in their JEE preparation and exam to improve their score.
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- Also tell them how do they improve their score more.
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Opportunities:
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- List the student's strengths based on their opportunities skills
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- Suggest opportunities for improvement by leveraging the student's strengths and addressing their challenges.
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- Recommend ways to enhance their score in the opportunities skills.
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- Also tell them if they improve in these skills what opportunities they have in improving their scores
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Challenges:
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- List the student's strengths based on their challenges skills
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- Guide the student that these skills are basically the core area where they are lacking
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- Tell them that if they continue not focusing upon them they might get far away from their JEE goal.
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Action Plan:
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- Provide a detailed plan to the student to improve in the challenges skills.
|
| 369 |
+
- Recommend targeted strategies, resources, and techniques to improve their challenges skills.
|
| 370 |
+
- Let them know if they improve these areas how it can help boost their scores and make their preparation more effective.
|
| 371 |
+
- Incorporate time management, revision, and test-taking strategies specific to JEE Mains and the identified subjects/topics/subtopics.
|
| 372 |
+
|
| 373 |
+
Things that LLM need to make sure:
|
| 374 |
+
1) Your analysis and action plan should be comprehensive, consistent, and tailored to the individual student's responses while leveraging your knowledge of the JEE Mains exam context, the mapping of subjects/topics to general cognitive traits and skills, and the ability to identify overarching trends across related subjects/topics.
|
| 375 |
+
2) Make sure you give the output that extracts the student.
|
| 376 |
+
3) Make sure you give out output in bullet points.
|
| 377 |
+
4) While entering a new line in the output use "\n" new line character.
|
| 378 |
+
5) Make the output very much JEE (Joint Entrance Examination) based and give everything with context to Physics , Chemistry and Maths JEE syllabus.
|
| 379 |
+
6) Use Italics, Bold and underline appropriately to improve the output more.
|
| 380 |
+
7) Bold text where you are taking chapter names from Physics , Chemsitry and Maths only which are in syllabus of Joint Entrance Examination.
|
| 381 |
+
8) Dont use "+" or any other special symbol whenever you want to break a line use "\n" to do it in the output."""
|
| 382 |
+
try:
|
| 383 |
+
chat_completion3 = client3.chat.completions.create(
|
| 384 |
+
messages=[
|
| 385 |
+
{"role": "system", "content": sys_promptMerge+OutputStructure},
|
| 386 |
+
{"role": "user", "content": f"Generate the SOCA analysis based on the system prompt and {OutputStructure}"},
|
| 387 |
+
],
|
| 388 |
+
model="llama3-70b-8192",
|
| 389 |
+
)
|
| 390 |
+
outputSOCAv3= chat_completion3.choices[0].message.content
|
| 391 |
except Exception as e:
|
| 392 |
raise HTTPException(status_code=500, detail=f"Error calling Groq API: {str(e)}")
|
| 393 |
|
| 394 |
+
return {"analysis": outputSOCAv3}
|
| 395 |
|
| 396 |
if __name__ == "__main__":
|
| 397 |
import uvicorn
|