Millions of students drop out of Indian government schools annually. Currently, the educational system operates reactively—teachers and district officials only realize a student has dropped out after they stop attending. Furthermore, critical data from various government schemes (PM POSHAN, Samagra Shiksha, UDISE+) is completely siloed, making it impossible to see the holistic socio-economic reality of a child’s risk.
UDAAN AI shifts the paradigm from reactive tracking to proactive prevention. By unifying data across attendance, academics, nutrition, and family socio-economics, our AI predicts school dropout risks up to 6 months in advance and automates ground-level interventions to keep children in school.
✨ Key Features
🧠 XGBoost Risk Engine: Calculates a dynamic Dropout Risk Score (0-100%) for every student daily.
🔍 SHAP Explainability: Avoids the “black box” problem. The AI explains why a student is flagged (e.g., “75% risk due to missing 5 midday meals + seasonal brick-kiln migration”).
⚡ Automated Intervention Loop: Instantly dispatches ASHA/Community workers for GPS-verified home visits when risk thresholds are breached.
💬 Multilingual Parent AI: Engages illiterate or busy parents via a simple WhatsApp/SMS-like chatbot interface in their native language.
🗺️ District Heatmaps: Provides macro-level decision-makers with live geospatial visualization of dropout densities.
🤝 The Ecosystem Profiles
UDAAN AI connects the entire educational ecosystem through 5 custom-built, role-based dashboards:
👨🏫 The Teacher (Identifier): Monitors classroom risk scores, tracks attendance trends, and triggers immediate interventions for at-risk youth.
🏫 The Principal (Manager): Tracks the “School Health Score”, PM POSHAN (Midday Meal) distribution, and infrastructural audits (e.g., Washroom conditions impacting female attendance).
🗺️ The District Officer (Decision Maker): Views block-level heatmaps to dynamically allocate emergency funds, scholarships, or community workers to surging dropout zones.
🧑⚕️ The ASHA Worker (Executor): Receives actionable alerts on their mobile device to conduct GPS-verified home visits and log real-world family constraints directly into the AI.
👨👩👧 The Parent (Stakeholder): Interacts with an AI assistant to check child attendance, scholarship eligibility, and receive proactive alerts.
🏆 Why UDAAN AI?
Closes the Loop: We don’t just display data on a dashboard. UDAAN AI connects the data to real-world action (Teacher → ASHA Worker → Parent).
Explainable AI in GovTech: Trust is critical in government software. By utilizing SHAP values, educators aren’t blindly following an algorithm; they understand the reasoning.
Premium UX/UI: Government software shouldn’t look outdated. UDAAN AI features a state-of-the-art, immersive interface designed to encourage daily interaction.
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