FutureSmart Agent
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Participant
SpoonShare
AIDemos Youtube
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Individual
May 30, 2025 at 05:30 AM
Project Demo
Technology Stack
We used Google Cloud Vision API for food image recognition, TensorFlow Lite for on-device inference, and Firebase ML for intelligent predictions. For location intelligence and matching, we leveraged Google Maps API integrated with custom AI logic. The backend decision-making engine also uses Python-based machine learning models to prioritize food distribution based on urgency, location, and quantity.
Submission Details
hear-about-us
AIDemos Youtube
name
Sanika Chavan
linkedIn-profile
- https://www.linkedin.com/in/sanika-chavan-52457b236/
Project Title
SpoonShare
Describe what your project does?
What AI tools did you use?
We used Google Cloud Vision API for food image recognition, TensorFlow Lite for on-device inference, and Firebase ML for intelligent predictions. For location intelligence and matching, we leveraged Google Maps API integrated with custom AI logic. The backend decision-making engine also uses Python-based machine learning models to prioritize food distribution based on urgency, location, and quantity.
Share a 3–5 minute demo video (Google Drive link only) explaining your core idea, tools used, challenges faced, and how you improved your solution — make sure the link is viewable.
- https://www.youtube.com/watch?v=C6ohaBEEJks
Is this project your original and proprietary work?
Yes
Does it include any private, sensitive, or restricted code or content?
Yes
Do you give us (AI Demos) permission to feature your work on our website and share it with our community (with full credit)?
Yes
Do you consent to us showcasing your name/profile on our social media platforms and YouTube
Yes