AI Platform for Call QA & Automation
Budget: ₹37,500 – ₹75,000 INR
I'm seeking a skilled AI developer to build a platform for handling and analyzing collection calls. The AI should be capable of transcribing calls, generating reports, and making automated calls.
Key Requirements:
- Transcribing Calls: The AI must be able to accurately transcribe calls for quality assurance and training purposes.
- Generating Reports: The platform should generate comprehensive reports from the calls to track performance and identify trends.
- Making Automated Calls: The AI should be able to handle outbound calls autonomously.
The main metrics the AI will need to analyze include:
- Call Duration and Frequency: Monitoring these metrics will help assess the efficiency of the collection process.
- Customer Sentiment and Engagement: The AI should be able to gauge customer sentiment and engagement during calls to help tailor future interactions.
- Debt Repayment Commitments and Issues: The platform needs to track and report on customer commitments to repay debts, as well as any issues that arise.
Ideal candidates for this project should have:
- Prior experience in developing AI for call handling and quality assurance.
- Proficiency in natural language processing for accurate transcription.
- Skills in data analysis to generate insightful reports.
- Experience in AI-driven telephony systems for making automated calls.
This project requires a blend of AI expertise, call handling experience, and data analysis skills. Please only apply if you meet these criteria.
Key Requirements:
- Transcribing Calls: The AI must be able to accurately transcribe calls for quality assurance and training purposes.
- Generating Reports: The platform should generate comprehensive reports from the calls to track performance and identify trends.
- Making Automated Calls: The AI should be able to handle outbound calls autonomously.
The main metrics the AI will need to analyze include:
- Call Duration and Frequency: Monitoring these metrics will help assess the efficiency of the collection process.
- Customer Sentiment and Engagement: The AI should be able to gauge customer sentiment and engagement during calls to help tailor future interactions.
- Debt Repayment Commitments and Issues: The platform needs to track and report on customer commitments to repay debts, as well as any issues that arise.
Ideal candidates for this project should have:
- Prior experience in developing AI for call handling and quality assurance.
- Proficiency in natural language processing for accurate transcription.
- Skills in data analysis to generate insightful reports.
- Experience in AI-driven telephony systems for making automated calls.
This project requires a blend of AI expertise, call handling experience, and data analysis skills. Please only apply if you meet these criteria.
Related categories:
Testing / QA
Software Architecture
Software Testing
Software Development
Artificial Intelligence