Our project aims to streamline the workflow for medical professionals by implementing Optical Character Recognition (OCR) and a Language Learning Model (LLM) chatbot.
- Technology Used: Tesseract
- Accuracy: 70-80%
- Functionality: Extracts text from medical documents and stores it in JSON format in a MongoDB database. This process reduces manual entry errors and simplifies the work for doctors.
- Functionality: The chatbot interacts with PDF documents and extracts relevant data from the database using a vector database.
- Benefit: Enhances user interaction and provides easy access to necessary information.
- Nishant Satere
- Nitesh Rathod
- Muzammil Ansari
- Devang Mestry
We are a team of four enthusiastic individuals participating in the TESC Hackathon. Our team focuses on the domain of Artificial Intelligence and Machine Learning (AI/ML). With a passion for innovation and problem-solving, we are excited to collaborate and create impactful projects.
- Event: TESC Hackathon
- Date: 31-01-2024
- Theme: AI/ML
- Organizer: TSEC Code Cell