Decode, Decide, Thrive: Empowering Health with SwasthKAI. SwasthKAI is a project aimed at promoting healthy eating habits by providing information about the nutritional content of Indian food products.
Have you ever wonder what's really in your food? Picture this: you grab a protein bar or snack from your morning swag bag, but do you truly know what's fueling your body? The truth is, that most of us blindly trust food labels without realizing the hidden ingredients and marketing gimmicks lurking within. We've all heard the age-old adage, 'biscuits are better than chips or chocolates,' but did you know that biscuits can pack more sugar than your favorite chocolate bar?
Enter SwasthkAI – your ultimate solution to decode food labels and make informed choices. With SwasthkAI, you'll never fall prey to misleading marketing tactics again. Our app empowers you to scan food packaging, uncover detailed ingredient data, and assess the health impacts based on your individual preferences – whether you're managing diabetes, allergies, or other health conditions.
Gone are the days of blindly trusting brands. With SwasthkAI, you're in control of your health journey. So, next time you reach for a snack, make it an informed choice with SwasthkAI by your side.
SwasthkAI revolutionizes the way we approach food consumption by empowering users to scan food packaging, extract detailed ingredient data, and assess health impacts based on individual health preferences. Say goodbye to marketing gimmicks and hello to informed choices tailored for diabetics, patients, and anyone seeking healthier eating habits. Whether you're deciphering labels or avoiding allergens, SwasthkAI is your trusted companion for a healthier lifestyle.
To clone this repository, use the following command:
git clone https://github.com/jankigabani/SwasthKAI.git
Install the below libraries :
pip install -r requirements.txt
After cloning the repository, navigate to the directory containing the app.py file. Then, run the Streamlit app using the following command:
streamlit run app.py
This will start the application, and you can access it through your web browser.
(NOTE : If you are not able to access this, kindly contact. It mightnot work as we are still working and scalling this project.)