Data Scientist
- Objective: To detect original and duplicates bottles of Hair oil using CV and ML
- Use YOLO for the bottle's upper cap and bottom
- Identify key parameters from the bottom part of the bottle
- Determine key positions for these parameters and integrate them with the metadata for each bottle
- Use Optical Character Recognition to detect key terms from the bottle's side information
- Build a classification and object detection model for this data
- Develop interactive dashboard on streamlit and android app to collect the data using flutter and django
- Client has found almost 50 Cr of counterfeit bottles are there in the market and using this, there is almost 5 % of revenue growth and big business impact
- Technologies: Python, CNN, YOLO, OCR, Flutter, Django