Education
Academic Support Module
Administrative Tasks Module
Communication Module
Curriculum Development Module
Enrollment & Registration Module
Learning Module
Resource Management Module
Need a custom agent?
Build tailored AI solutions
Work with our team to develop custom AI agents for your business.
Contact usEducation
Education
Risk Identifier
You are the comprehensive early warning system for identifying and supporting at-risk students.
Purpose
You are the comprehensive early warning system for identifying and supporting at-risk students.
AI-Powered Intelligence — Advanced AI capabilities for automated processing and analysis
Enterprise Ready — Built for production with security, scalability, and reliability
Seamless Integration — Easy to integrate with your existing systems and workflows
Agent Capabilities
This agent is equipped with the following advanced capabilities:
Knowledge Base
Vector search & retrieval
Knowledge (NoneType)
Available Tools
Assess Student Risk
Comprehensive risk assessment combining academic, behavioral, and attendance factors.
Args:
student_data: JSON with multiple risk indicators
Example: {"student_id": "12345", "gpa": 2.1, "attendance_rate": 82, "behavioral_incidents": 3, "failing_courses": 2}
Returns:
Risk assessment report with tiered intervention recommendations
Assess Student Risk
Comprehensive risk assessment combining academic, behavioral, and attendance factors. Args: student_data: JSON with multiple risk indicators Example: {"student_id": "12345", "gpa": 2.1, "attendance_rate": 82, "behavioral_incidents": 3, "failing_courses": 2} Returns: Risk assessment report with tiered intervention recommendations
def assess_student_risk(student_data: str) -> str: """ Comprehensive risk assessment combining academic, behavioral, and attendance factors. Args: student_data: JSON with multiple risk indicators Example: {"student_id": "12345", "gpa": 2.1, "attendance_rate": 82, "behavioral_incidents": 3, "failing_courses": 2} Returns: Risk assessment report with tiered intervention recommendations """ try: if isinstance(student_data, str): try: data = json.loads(student_data) except json.JSONDecodeError: return "Error: Invalid JSON format for student data" else: data = student_data student_id = data.get('student_id', 'Unknown') gpa = data.get('gpa', 4.0) attendance_rate = data.get('attendance_rate', 100) behavioral_incidents = data.get('behavioral_incidents', 0) failing_courses = data.get('failing_courses', 0) missing_assignments = data.get('missing_assignments', 0) "color: #6b7280;"># Calculate risk score risk_score = 0 risk_factors = [] if gpa < 2.0: risk_score += 3 risk_factors.append(f"GPA below 2.0 ({gpa:.2f})") elif gpa < 2.5: risk_score += 2 risk_factors.append(f"Low GPA({gpa:.2f})") if attendance_rate < 85: risk_score += 3 risk_factors.append(f"Chronic absenteeism({attendance_rate}%)") elif attendance_rate < 90: risk_score += 2 risk_factors.append(f"Low attendance({attendance_rate}%)") if failing_courses >= 2: risk_score += 3 risk_factors.append(f"Multiple failing courses({failing_courses})") elif failing_courses == 1: risk_score += 1 risk_factors.append(f"One failing course") if behavioral_incidents >= 3: risk_score += 2 risk_factors.append(f"Multiple behavioral incidents({behavioral_incidents})") if missing_assignments > 5: risk_score += 2 risk_factors.append(f"High missing assignments({missing_assignments})") "color: #6b7280;"># Determine risk level if risk_score >= 7: risk_level = "🔴 CRITICAL" tier = "Tier 3: Intensive Intervention" elif risk_score >= 4: risk_level = "⚠️ HIGH" tier = "Tier 2: Targeted Support" elif risk_score >= 2: risk_level = "○ MODERATE" tier = "Tier 1: Universal Support" else: risk_level = "✓ LOW" tier = "Continue Standard Monitoring" report = f"=== STUDENT RISK ASSESSMENT ===\n\n" report += f"Student ID: {student_id}\n" report += f"Risk Level: {risk_level}\n" report += f"Risk Score: {risk_score}/12\n" report += f"Intervention Tier: {tier}\n\n" if risk_factors: report += "=== IDENTIFIED RISK FACTORS ===\n" for i, factor in enumerate(risk_factors, 1): report += f" {i}. {factor}\n" report += "\n" report += "=== INTERVENTION RECOMMENDATIONS ===\n\n" if risk_score >= 7: report += "IMMEDIATE ACTIONS(Within 24 hours):\n" report += " 1. Parent/guardian emergency conference\n" report += " 2. Assign case manager for daily monitoring\n" report += " 3. Develop intensive intervention plan\n" report += " 4. Consider IEP/504 evaluation\n" report += " 5. Connect family with community resources\n" report += " 6. Alternative education program evaluation\n\n" report += "WEEKLY SUPPORT:\n" report += " - Daily check-ins with counselor\n" report += " - Mandatory tutoring sessions(3x/week)\n" report += " - Modified assignment deadlines\n" report += " - Behavioral support plan implementation\n" elif risk_score >= 4: report += "ACTIONS(Within 72 hours):\n" report += " 1. Parent notification and meeting\n" report += " 2. Academic support plan development\n" report += " 3. Tutoring referral\n" report += " 4. Counselor consultation\n" report += " 5. Weekly progress monitoring\n\n" report += "SUPPORT MEASURES:\n" report += " - Bi-weekly counselor check-ins\n" report += " - Recommended tutoring(2x/week)\n" report += " - Study skills workshop\n" report += " - Peer mentoring opportunity\n" elif risk_score >= 2: report += "ACTIONS(Within 1 week):\n" report += " 1. Teacher notification\n" report += " 2. Student conference\n" report += " 3. Parent email notification\n" report += " 4. Bi-weekly progress check\n\n" report += "SUPPORT MEASURES:\n" report += " - Optional tutoring available\n" report += " - Study skills resources\n" report += " - Academic advisor monitoring\n" else: report += "✓ Student is performing well\n" report += "Continue standard monitoring and support\n" return report except Exception as e: return f"Error assessing student risk: {str(e)}"
Generate Intervention Plan
Generate a detailed intervention plan based on identified risk factors.
Args:
risk_factors: JSON string with list of risk factors
student_context: Optional additional context (learning style, interests, family situation)
Returns:
Comprehensive intervention plan with specific action steps
Generate Intervention Plan
Generate a detailed intervention plan based on identified risk factors. Args: risk_factors: JSON string with list of risk factors student_context: Optional additional context (learning style, interests, family situation) Returns: Comprehensive intervention plan with specific action steps
def generate_intervention_plan(risk_factors: str, student_context: str = "") -> str: """ Generate a detailed intervention plan based on identified risk factors. Args: risk_factors: JSON string with list of risk factors student_context: Optional additional context(learning style, interests, family situation) Returns: Comprehensive intervention plan with specific action steps """ try: if isinstance(risk_factors, str): try: data = json.loads(risk_factors) except json.JSONDecodeError: return "Error: Invalid JSON format for risk factors" else: data = risk_factors factors = data.get('factors', []) student_id = data.get('student_id', 'Unknown') report = f"=== INTERVENTION PLAN ===\n\n" report += f"Student ID: {student_id}\n" report += f"Plan Date: Current\n" report += f"Risk Factors Addressed: {len(factors)}\n\n" if student_context: report += f"Student Context: {student_context}\n\n" report += "=== IDENTIFIED CONCERNS ===\n" for i, factor in enumerate(factors, 1): report += f" {i}. {factor}\n" report += "\n" report += "=== INTERVENTION STRATEGY ===\n\n" "color: #6b7280;"># Academic interventions report += "Academic Support:\n" report += " - Small-group tutoring 3x per week\n" report += " - Modified assignment deadlines with scaffolded support\n" report += " - Daily study hall monitoring\n" report += " - Access to online learning resources\n" report += " - Peer tutoring connections\n\n" "color: #6b7280;"># Behavioral interventions report += "Behavioral Support:\n" report += " - Weekly counselor check-ins\n" report += " - Positive behavior reinforcement plan\n" report += " - Social-emotional learning activities\n" report += " - Conflict resolution strategies\n\n" "color: #6b7280;"># Family engagement report += "Family Engagement:\n" report += " - Bi-weekly parent communication\n" report += " - Family resource connections(as needed)\n" report += " - Parent education workshops\n" report += " - Home-school collaboration strategies\n\n" "color: #6b7280;"># Monitoring report += "Progress Monitoring:\n" report += " - Weekly grade checks\n" report += " - Daily attendance review\n" report += " - Bi-weekly progress meetings\n" report += " - Monthly comprehensive review\n\n" report += "=== SUCCESS CRITERIA ===\n" report += " - Attendance rate above 90%\n" report += " - GPA improvement to 2.5 or higher\n" report += " - No failing courses\n" report += " - Reduced behavioral incidents\n" report += " - Improved assignment completion rate\n\n" report += "=== TIMELINE ===\n" report += " - Week 1-2: Plan implementation and baseline monitoring\n" report += " - Week 3-4: First progress review and adjustments\n" report += " - Week 5-8: Continued support with weekly monitoring\n" report += " - Week 9: Comprehensive evaluation and plan update\n" return report except Exception as e: return f"Error generating intervention plan: {str(e)}"
Reasoning Tools
ReasoningTools from agno framework
Reasoning Tools
ReasoningTools from agno framework
Required Inputs
Generated Outputs
Business Value
• Automated processing reduces manual effort and improves accuracy
• Consistent validation logic ensures compliance and audit readiness
• Early detection of issues minimizes downstream risks and costs
Graph

Pricing
Get in touch for a tailored pricing
Contact us to discuss your specific needs and requirements and get a personalized plan.
Custom Deployment
Tailored to your organization's specific workflows and requirements.
Enterprise Support
Dedicated support team and onboarding assistance.
Continuous Updates
Regular updates and improvements based on latest AI advancements.
Contact Us
For enterprise deployments.
€Custom
one time payment
plus local taxes
Tailored solutions — Custom pricing based on your organization's size and usage requirements.