CONCEPT_MAP_JSON = """ { "central_node": "Artificial Intelligence (AI)", "nodes": [ { "id": "ml_fundamental", "label": "Machine Learning", "relationship": "is essential for", "subnodes": [ { "id": "dl_branch", "label": "Deep Learning", "relationship": "for example", "subnodes": [ { "id": "cnn_example", "label": "CNNs", "relationship": "for example" }, { "id": "rnn_example", "label": "RNNs", "relationship": "for example" } ] }, { "id": "rl_branch", "label": "Reinforcement Learning", "relationship": "for example", "subnodes": [ { "id": "qlearning_example", "label": "Q-Learning", "relationship": "example" }, { "id": "pg_example", "label": "Policy Gradients", "relationship": "example" } ] } ] }, { "id": "ai_types", "label": "Types", "relationship": "formed by", "subnodes": [ { "id": "agi_type", "label": "AGI", "relationship": "this is", "subnodes": [ { "id": "strong_ai", "label": "Strong AI", "relationship": "provoked by", "subnodes": [ { "id": "human_intel", "label": "Human-level Intel.", "relationship": "of" } ] } ] }, { "id": "ani_type", "label": "ANI", "relationship": "this is", "subnodes": [ { "id": "weak_ai", "label": "Weak AI", "relationship": "provoked by", "subnodes": [ { "id": "narrow_tasks", "label": "Narrow Tasks", "relationship": "of" } ] } ] } ] }, { "id": "ai_capabilities", "label": "Capabilities", "relationship": "change", "subnodes": [ { "id": "data_proc", "label": "Data Processing", "relationship": "can", "subnodes": [ { "id": "big_data", "label": "Big Data", "relationship": "as", "subnodes": [ { "id": "analysis_example", "label": "Data Analysis", "relationship": "example" }, { "id": "prediction_example", "label": "Prediction", "relationship": "example" } ] } ] }, { "id": "decision_making", "label": "Decision Making", "relationship": "can be", "subnodes": [ { "id": "automation", "label": "Automation", "relationship": "as", "subnodes": [ { "id": "robotics_example", "label": "Robotics", "relationship": "Example"}, { "id": "autonomous_example", "label": "Autonomous Vehicles", "relationship": "of one" } ] } ] }, { "id": "problem_solving", "label": "Problem Solving", "relationship": "can", "subnodes": [ { "id": "optimization", "label": "Optimization", "relationship": "as is", "subnodes": [ { "id": "algorithms_example", "label": "Algorithms", "relationship": "for example" } ] } ] } ] } ] } """ # JSON for Synoptic Chart (horizontal hierarchy) - AI related, 4 levels SYNOPTIC_CHART_JSON = """ { "central_node": "AI Project Lifecycle", "nodes": [ { "id": "phase1", "label": "I. Problem Definition & Data Acquisition", "relationship": "Starts with", "subnodes": [ { "id": "sub1_1", "label": "1. Problem Formulation", "relationship": "Involves", "subnodes": [ {"id": "sub1_1_1", "label": "1.1. Identify Business Need", "relationship": "e.g."}, {"id": "sub1_1_2", "label": "1.2. Define KPIs", "relationship": "e.g."} ] }, { "id": "sub1_2", "label": "2. Data Collection", "relationship": "Followed by", "subnodes": [ {"id": "sub1_2_1", "label": "2.1. Source Data", "relationship": "from"}, {"id": "sub1_2_2", "label": "2.2. Data Cleaning", "relationship": "includes"} ] } ] }, { "id": "phase2", "label": "II. Model Development", "relationship": "Proceeds to", "subnodes": [ { "id": "sub2_1", "label": "1. Feature Engineering", "relationship": "Comprises", "subnodes": [ {"id": "sub2_1_1", "label": "1.1. Feature Selection", "relationship": "e.g."}, {"id": "sub2_1_2", "label": "1.2. Feature Transformation", "relationship": "e.g."} ] }, { "id": "sub2_2", "label": "2. Model Training", "relationship": "Involves", "subnodes": [ {"id": "sub2_2_1", "label": "2.1. Algorithm Selection", "relationship": "uses"}, {"id": "sub2_2_2", "label": "2.2. Hyperparameter Tuning", "relationship": "optimizes"} ] } ] }, { "id": "phase3", "label": "III. Evaluation & Deployment", "relationship": "Culminates in", "subnodes": [ { "id": "sub3_1", "label": "1. Model Evaluation", "relationship": "Includes", "subnodes": [ {"id": "sub3_1_1", "label": "1.1. Performance Metrics", "relationship": "measures"}, {"id": "sub3_1_2", "label": "1.2. Bias & Fairness Audits", "relationship": "ensures"} ] }, { "id": "sub3_2", "label": "2. Deployment & Monitoring", "relationship": "Requires", "subnodes": [ {"id": "sub3_2_1", "label": "2.1. API/Integration Development", "relationship": "for"}, {"id": "sub3_2_2", "label": "2.2. Continuous Monitoring", "relationship": "ensures"} ] } ] } ] } """ # JSON for Radial Diagram (central expansion) - AI related, 3 levels with 5->10 structure RADIAL_DIAGRAM_JSON = """ { "central_node": "AI Core Concepts & Domains", "nodes": [ { "id": "foundational_ml", "label": "Foundational ML", "relationship": "builds on", "subnodes": [ {"id": "supervised_l", "label": "Supervised Learning", "relationship": "e.g."}, {"id": "unsupervised_l", "label": "Unsupervised Learning", "relationship": "e.g."} ] }, { "id": "dl_architectures", "label": "Deep Learning Arch.", "relationship": "evolved from", "subnodes": [ {"id": "cnns_rad", "label": "CNNs", "relationship": "e.g."}, {"id": "rnns_rad", "label": "RNNs", "relationship": "e.g."} ] }, { "id": "major_applications", "label": "Major AI Applications", "relationship": "applied in", "subnodes": [ {"id": "nlp_rad", "label": "Natural Language Processing", "relationship": "e.g."}, {"id": "cv_rad", "label": "Computer Vision", "relationship": "e.g."} ] }, { "id": "ethical_concerns", "label": "Ethical AI Concerns", "relationship": "addresses", "subnodes": [ {"id": "fairness_rad", "label": "Fairness & Bias", "relationship": "e.g."}, {"id": "explainability", "label": "Explainability (XAI)", "relationship": "e.g."} ] }, { "id": "future_trends", "label": "Future AI Trends", "relationship": "looking at", "subnodes": [ {"id": "agi_future", "label": "AGI Development", "relationship": "e.g."}, {"id": "quantum_ai", "label": "Quantum AI", "relationship": "e.g."} ] } ] } """ PROCESS_FLOW_JSON = """ { "start_node": "Start Inference Request", "nodes": [ { "id": "user_input", "label": "Receive User Input (Data)", "type": "io" }, { "id": "preprocess_data", "label": "Preprocess Data", "type": "process" }, { "id": "validate_data", "label": "Validate Data Format/Type", "type": "decision" }, { "id": "data_valid_yes", "label": "Data Valid?", "type": "decision" }, { "id": "load_model", "label": "Load AI Model (if not cached)", "type": "process" }, { "id": "run_inference", "label": "Run AI Model Inference", "type": "process" }, { "id": "postprocess_output", "label": "Postprocess Model Output", "type": "process" }, { "id": "send_response", "label": "Send Response to User", "type": "io" }, { "id": "log_error", "label": "Log Error & Notify User", "type": "process" }, { "id": "end_inference_process", "label": "End Inference Process", "type": "end" } ], "connections": [ {"from": "start_node", "to": "user_input", "label": "Request"}, {"from": "user_input", "to": "preprocess_data", "label": "Data Received"}, {"from": "preprocess_data", "to": "validate_data", "label": "Cleaned"}, {"from": "validate_data", "to": "data_valid_yes", "label": "Check"}, {"from": "data_valid_yes", "to": "load_model", "label": "Yes"}, {"from": "data_valid_yes", "to": "log_error", "label": "No"}, {"from": "load_model", "to": "run_inference", "label": "Model Ready"}, {"from": "run_inference", "to": "postprocess_output", "label": "Output Generated"}, {"from": "postprocess_output", "to": "send_response", "label": "Ready"}, {"from": "send_response", "to": "end_inference_process", "label": "Response Sent"}, {"from": "log_error", "to": "end_inference_process", "label": "Error Handled"} ] } """ # New JSON for Work Breakdown Structure (WBS) Diagram - similar to image, but not identical WBS_DIAGRAM_JSON = """ { "project_title": "AI Model Deployment Project", "phases": [ { "id": "phase_1_initiation", "label": "1. Project Initiation", "tasks": [ { "id": "task_1_1_goal_scope", "label": "1.1. Define Goal & Scope", "subtasks": [ { "id": "subtask_1_1_1_problem_def", "label": "1.1.1. Problem Definition", "sub_subtasks": [ { "id": "ss_task_1_1_1_1_req_analysis", "label": "1.1.1.1. Requirements Analysis", "sub_sub_subtasks": [ { "id": "sss_task_1_1_1_1_1_user_stories", "label": "1.1.1.1.1. User Stories", "final_level_tasks": [ {"id": "ft_1_1_1_1_1_1_interview_users", "label": "1.1.1.1.1.1. Interview Users"}, {"id": "ft_1_1_1_1_1_2_document_needs", "label": "1.1.1.1.1.2. Document Needs"}, {"id": "ft_1_1_1_1_1_3_validate_scope", "label": "1.1.1.1.1.3. Validate Scope"} ] } ] }, { "id": "ss_task_1_1_1_2_data_id", "label": "1.1.1.2. Data Identification", "sub_sub_subtasks": [ { "id": "sss_task_1_1_1_2_1_source_mapping", "label": "1.1.1.2.1. Source Mapping", "final_level_tasks": [ {"id": "ft_1_1_1_2_1_1_list_databases", "label": "1.1.1.2.1.1. List Databases"}, {"id": "ft_1_1_1_2_1_2_api_integration", "label": "1.1.1.2.1.2. API Integration"}, {"id": "ft_1_1_1_2_1_3_external_feeds", "label": "1.1.1.2.1.3. External Feeds"} ] } ] }, { "id": "ss_task_1_1_1_3_ml_approach", "label": "1.1.1.3. ML Approach Selection", "sub_sub_subtasks": [ { "id": "sss_task_1_1_1_3_1_algo_research", "label": "1.1.1.3.1. Algorithm Research", "final_level_tasks": [ {"id": "ft_1_1_1_3_1_1_supervised_review", "label": "1.1.1.3.1.1. Supervised Review"}, {"id": "ft_1_1_1_3_1_2_unsupervised_review", "label": "1.1.1.3.1.2. Unsupervised Review"}, {"id": "ft_1_1_1_3_1_3_rl_consideration", "label": "1.1.1.3.1.3. RL Consideration"} ] } ] } ] } ] }, { "id": "task_1_2_resource_plan", "label": "1.2. Resource Planning", "subtasks": [ { "id": "subtask_1_2_1_team_assembly", "label": "1.2.1. Team Assembly", "sub_subtasks": [ { "id": "ss_task_1_2_1_1_data_scientists", "label": "1.2.1.1. Data Scientists", "sub_sub_subtasks": [ { "id": "sss_task_1_2_1_1_1_identify_leads", "label": "1.2.1.1.1. Identify Leads", "final_level_tasks": [ {"id": "ft_1_2_1_1_1_1_hire_ml_engineers", "label": "1.2.1.1.1.1. Hire ML Engineers"}, {"id": "ft_1_2_1_1_1_2_allocate_researchers", "label": "1.2.1.1.1.2. Allocate Researchers"}, {"id": "ft_1_2_1_1_1_3_assign_roles", "label": "1.2.1.1.1.3. Assign Roles"} ] } ] }, { "id": "ss_task_1_2_1_2_engineers", "label": "1.2.1.2. Software Engineers", "sub_sub_subtasks": [ { "id": "sss_task_1_2_1_2_1_backend_devs", "label": "1.2.1.2.1. Backend Devs", "final_level_tasks": [ {"id": "ft_1_2_1_2_1_1_recruit_py", "label": "1.2.1.2.1.1. Recruit Python"}, {"id": "ft_1_2_1_2_1_2_recruit_java", "label": "1.2.1.2.1.2. Recruit Java"}, {"id": "ft_1_2_1_2_1_3_onboard_team", "label": "1.2.1.2.1.3. Onboard Team"} ] } ] }, { "id": "ss_task_1_2_1_3_domain_experts", "label": "1.2.1.3. Domain Experts", "sub_sub_subtasks": [ { "id": "sss_task_1_2_1_3_1_consultants", "label": "1.2.1.3.1. Consultants", "final_level_tasks": [ {"id": "ft_1_2_1_3_1_1_engage_smes", "label": "1.2.1.3.1.1. Engage SMEs"}, {"id": "ft_1_2_1_3_1_2_define_ksas", "label": "1.2.1.3.1.2. Define KSAs"}, {"id": "ft_1_2_1_3_1_3_establish_collab", "label": "1.2.1.3.1.3. Establish Collab."} ] } ] } ] } ] }, { "id": "task_1_3_budget_timeline", "label": "1.3. Budget & Timeline", "subtasks": [ { "id": "subtask_1_3_1_cost_estim", "label": "1.3.1. Cost Estimation", "sub_subtasks": [ { "id": "ss_task_1_3_1_1_hardware_costs", "label": "1.3.1.1. Hardware Costs", "sub_sub_subtasks": [ { "id": "sss_task_1_3_1_1_1_gpu_procurement", "label": "1.3.1.1.1. GPU Procurement", "final_level_tasks": [ {"id": "ft_1_3_1_1_1_1_server_purchase", "label": "1.3.1.1.1.1. Server Purchase"}, {"id": "ft_1_3_1_1_1_2_cloud_compute", "label": "1.3.1.1.1.2. Cloud Compute"}, {"id": "ft_1_3_1_1_1_3_network_equip", "label": "1.3.1.1.1.3. Network Equip."} ] } ] }, { "id": "ss_task_1_3_1_2_software_costs", "label": "1.3.1.2. Software Costs", "sub_sub_subtasks": [ { "id": "sss_task_1_3_1_2_1_licensing", "label": "1.3.1.2.1. Licensing", "final_level_tasks": [ {"id": "ft_1_3_1_2_1_1_os_licenses", "label": "1.3.1.2.1.1. OS Licenses"}, {"id": "ft_1_3_1_2_1_2_tool_subscriptions", "label": "1.3.1.2.1.2. Tool Subscriptions"}, {"id": "ft_1_3_1_2_1_3_framework_fees", "label": "1.3.1.2.1.3. Framework Fees"} ] } ] }, { "id": "ss_task_1_3_1_3_personnel_costs", "label": "1.3.1.3. Personnel Costs", "sub_sub_subtasks": [ { "id": "sss_task_1_3_1_3_1_salaries", "label": "1.3.1.3.1. Salaries", "final_level_tasks": [ {"id": "ft_1_3_1_3_1_1_engineer_salaries", "label": "1.3.1.3.1.1. Engineer Salaries"}, {"id": "ft_1_3_1_3_1_2_consultant_fees", "label": "1.3.1.3.1.2. Consultant Fees"}, {"id": "ft_1_3_1_3_1_3_training_budget", "label": "1.3.1.3.1.3. Training Budget"} ] } ] } ] } ] } ] } ] } """