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project:
name: Smart Food AI
team: STRYX
description: AI-powered hyperlocal smart food system to reduce post-harvest loss and improve food accessibility in India
hackathon: AWS AI for Bharat
repository:
type: github
url: https://github.com/Khushi0415/smart-food-ai
application:
platform:
- mobile
- web
users:
- farmers
- storage_providers
- food_processors
- buyers
ai_models:
- name: price_prediction_model
purpose: Predict crop market prices
framework: scikit-learn
- name: spoilage_prediction_model
purpose: Estimate shelf life and spoilage risk
framework: tensorflow
cloud:
provider: AWS
services:
- S3
- DynamoDB
- Lambda
- API Gateway
- SageMaker
- SNS
- Cognito
data_sources:
- weather_api
- market_price_data
- logistics_api
- user_uploaded_crop_data
features:
- price_prediction
- storage_recommendation
- spoilage_alert
- marketplace_matching
- demand_forecasting
- real_time_notifications
deployment:
architecture: serverless
scalability: auto_scaling
security:
authentication: AWS Cognito
data_encryption: enabled
future_scope:
- IoT storage monitoring
- blockchain food traceability
- multilingual voice assistant
- government distribution integration