1.Automated Speech recognition :
Problem:
- Accurate Audio Transcription
- Customer Care Executive Performance Analysis
Tech Stack:
- Python Flask, Interactive AI Development, Prompt Engineering, Postman, Streamlit
Responsibilities:
- Improved transcription accuracy by optimizing audio files.
- Utilized generative AI like Chat GPT-turbo to enhance executive performance analysis.
- Used few-shot prompting technique to fine-tune results.
2.Optical Character recognition :
Problem:
- Convert Scanned PDFs into Image Format
- Extract Key Information using GPT Model
Tech Stack:
- Gemini Vision pro Model
- GPT turbo Model
- Python Flask, Stream Lit, Lang Chain
- Interactive AI Development, Prompt Engineering
Responsibilities:
- Developed workflow to convert scanned PDFs into image format using Gemini Vision Model.
- Implemented GPT Model to analyze and extract key information from extracted text.
- Utilized few-shot prompting technique to fine-tune results for accuracy.