Client: Kaizen
Tech Stack: Python, FastAPI, MongoDB, JavaScript, HTML5, CSS
Challenge: Achieving accurate OCR results was difficult, as initial prompts caused confusion between multiple roles. Additionally, handling location-based data added further complexity.
Solution: Researched various Medium blogs and implemented a three-prompt strategy, assigning a distinct role to each prompt to prevent confusion and improve data accuracy.
Outcome: Accuracy improved to beyond 90–95%, significantly enhancing data extraction precision. The client successfully proceeded with the implementation of our OCR software.
- Most Challenging Project:
AI-OCR – due to the complexity of handling location-based data. - Innovation Spotlight:
Developed a multi-prompt strategy by assigning distinct roles to each prompt, reducing confusion and significantly improving OCR accuracy beyond conventional methods.