TPRS 🤖

Overview 💬

TPRS is a sophisticated system designed to enhance career development by extracting skills from users' resumes and aspirations, defining SMART goals, and recommending tailored training plans. Leveraging advanced multi-stage LLM ReAct agents, TPRS provides a comprehensive approach to skill development and goal achievement.

Key Features ✴️

Skill Extraction: Automatically extracts skills from users' resumes. SMART Goal Extraction: Identifies SMART goals from user aspirations. Training Plan Recommendation: Suggests a personalized training plan to achieve the defined SMART goals. Natural Language Modification through ChatBot: Allows users to edit the training plan, aspirations, and skills using a chatbot interface.

Technologies Used 💻

• Programming Languages & Frameworks**: Python, Flask, Streamlit
• Large Language Models: Claude-3-Haiku, Mistral 8x7B
• Libraries: LangChain, LangGraph ReAct Agents
• Cloud Services: AWS Bedrock (Prompt Management System, KnowledgeBase for RAG), AWS S3

Architecture 📊

Overall Architecture

Skills Extraction Agent Architecture

SMART Goal Extraction Agent Architecture

Training Plan Recommendation Agent Architecture

Product Demonstration 📺

• Product Demonstration

Installation ⬇️

• Install the required packages by running the following command:

pip install -r requirements.txt

• Run the following command to start backend server:

python backend.py

• Run the following command to start frontend server:

streamlit run frontend.py

Note: AWS Bedrock credentials are required for full functionality.

Usage

• Open the frontend server.
• Enter your resume and aspirations.
• Click the submit button to receive your personalized training plan recommendation.