The problem Aashray solves

Latest news and updates on disasters and emergencies.
Emergency Information:
Real-time updates on current disasters and emergencies.
Information on different types of disasters (e.g., floods, earthquakes, hurricanes).
Evacuation plans and routes.
Emergency contact numbers (local authorities, hospitals, fire department, etc.).
Location-based services for finding nearby emergency facilities.
Tips and guidelines for disaster preparedness.
Emergency supply kit checklist.
Educational resources on disaster management.
Maps showing disaster-prone areas and evacuation routes.
Real-time mapping of ongoing disasters.
Integration with weather services to provide real-time weather updates.
Alerts for severe weather conditions.
Information on how individuals can volunteer during emergencies.
A platform for community members to share information and support each other.
Discussion forums for disaster-related topics.
Sign-up for emergency alerts via email or SMS.
Push notifications for mobile users.
SOS features for quick assistance.
Document repository with disaster management plans and guidelines.
Prediction Models of Flood, Earthquake, Wild Fire, etc.
ML model for detection of disasters using Satellites.
Message Analysis that categorizes emergency messages on its needs for quick response.

Challenges we ran into

Finding datasets for ml models. Researched the internet for the appropriate datasets.
Training ML models. The image classification models were not getting trained locally, on colab or other platforms.
Eventually found out that Kaggle provides free gpu to train model.