"Snap a pic of the ingredients, unveil the truth about your products!"
The system allows users to receive feedback and ratings on food or body care products based on their ingredients. It aims to provide users with valuable insights into the effectiveness of skincare products, helping them make informed decisions about their skincare routines.
- The system meticulously analyzes product ingredients, providing insights into their benefits and potential side effects.
- Users can simply snap a picture of a product's ingredient label and send it via SMS to receive detailed safety ratings and potential harm analysis.
- The platform provides the product's safety level and potential harm to the body.
- With coverage for ingredient labels in multiple languages, users receive feedback in English, ensuring inclusivity and accessibility.
- Feedback in customized language.
- Frontend: Twilio for SMS Integration
- Backend: Flask, Ngrok
- Technologies: Python, GCP, Google Cloud Text-to-speech, Google Cloud Vision
- Install the necessary Python packages.
- Set up your Gemini API and GCP credentials.
- Run the main.py script.
- Send an SMS with a photo of the ingredient list to the specified number.
- Receive your personalized ingredient analysis via text and audio messages.
- Aaron Wu
- Ekene Akuneme
- Ping Lu Github
- Yen Zein Kok
