Poshan Calculator
đ„ Key Features:
â Gender-Specific Classification:
The app first asks for the child's gender (boy or girl) to ensure accurate classification based on distinct growth standards.
â Age Group Differentiation:
The app categorizes children into two age groups:
0 to 2 years
2 to 5 years
Each age group has specific reference data for WFL classification, ensuring precise assessment.
â Weight-for-Length-Based Detection:
Instead of using broad length ranges, the app uses exact length values (e.g., 45 cm, 45.5 cm, 46 cm, etc.), ensuring a more precise classification of malnutrition.
â For each length, weight thresholds are predefined:
1ïžâŁ SAM: Extremely low weight range
2ïžâŁ MAM: Moderate weight deficiency
3ïžâŁ Normal: Healthy weight range
4ïžâŁ Obese: Excessive weight above the normal range
â User-Friendly Interface:
The app is designed with an advanced UI/UX using HTML, JavaScript, and CSS, making it easy to navigate.
Clear input fields for length and weight allow quick data entry.
â Instant Classification & Results:
After entering the child's length and weight, the app immediately classifies the childâs nutritional status.
The result is displayed in a clear and color-coded format for better visibility.
â Offline Compatibility (Future Enhancement):
The app can be modified to work without an internet connection, allowing Anganwadi workers in remote areas to assess children even in low-network regions.
â Use Case Scenarios
Anganwadi workers can use the app during regular child health check-ups to track malnutrition trends and provide necessary interventions.
Health counselors can use the tool to educate parents on nutritional needs and offer diet recommendations based on the childâs classification.
Pediatricians and NGOs focused on child health can integrate the app into their workflow to ensure effective monitoring of child growth patterns.
â Why This App Matters?
Malnutrition remains a critical issue in many regions, especially in developing countries. Early detection can help prevent severe health complications in children. By using scientifically accurate weight-for-length data, this app ensures that children receive timely and appropriate care.
With its precise classification system, ease of use, and advanced interface, the Child Malnutrition Classification App is a valuable tool for improving child health outcomes and supporting community health workers.