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blenai-conversation-intelligence

byMeghna Rajawat

Build 1. BlenAI Core Platform * Python and FastAPI backend. * Integration with OpenAI and other LLM providers. * Modular AI engine architecture. * PostgreSQL database. * Secure REST APIs with authentication. * Multi-tenant architecture. * Configurable prompts, business rules, and knowledge bases. * Structured JSON responses. * API usage tracking and logging. 2. AI Conversation Intelligence * Upload and process recorded conversations. * Multilingual speech-to-text transcription. * Conversation summarization. * Customer intent identification. * Buyer requirements and budget extraction. * Objection and buying-signal detection. * Lead scoring. * Automated follow-up recommendations. * Structured conversation analysis through APIs. 3. Knowledge and Intelligence Engine * Configurable industry-specific knowledge. * Business rules and prompt management. * Knowledge retrieval capabilities. * Support for future AI model integrations. * Extensible architecture for additional AI intelligence modules. 4. AWS Hosting and Deployment * Docker containerization. * AWS deployment. * PostgreSQL database integration. * Amazon S3 for audio storage. * HTTPS and secure API access. * API documentation using Swagger/OpenAPI. * Automated testing and deployment documentation.

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authenticated over HTTPS
endpoints and schemas selected
unauthenticated or invalid credentials
credentials invalid or expired
valid credentials
integration active
retrieval error
transient failure
retrieval succeeds
integration active
retrieval error
transient failure
retrieval succeeds
new module or provider
module or provider registered
1. Authenticate and obtain API credentials over HTTPS
2. Consult Swagger/OpenAPI documentation to select endpoints and schemas
3. Submit authenticated requests over HTTPS
4. Authentication error; re-issue credentials
Receive structured JSON responses
1. Request structured conversation analysis for a conversation
2. Retrieval failure; retry request
Platform returns JSON analysis document with all analysis fields
1. Invoke knowledge retrieval
2. Retrieval failure; retry
Platform returns retrieved knowledge as structured JSON
Register a new intelligence module or model provider through the modular engine and gateway
Platform makes new module or provider available without altering existing modules; existing analysis continues

No completed page designs yet.

Completed design pages will appear here when they are ready to preview.

authenticated over HTTPS
endpoints and schemas selected
unauthenticated or invalid credentials
credentials invalid or expired
valid credentials
integration active
retrieval error
transient failure
retrieval succeeds
integration active
retrieval error
transient failure
retrieval succeeds
new module or provider
module or provider registered
1. Authenticate and obtain API credentials over HTTPS
2. Consult Swagger/OpenAPI documentation to select endpoints and schemas
3. Submit authenticated requests over HTTPS
4. Authentication error; re-issue credentials
Receive structured JSON responses
1. Request structured conversation analysis for a conversation
2. Retrieval failure; retry request
Platform returns JSON analysis document with all analysis fields
1. Invoke knowledge retrieval
2. Retrieval failure; retry
Platform returns retrieved knowledge as structured JSON
Register a new intelligence module or model provider through the modular engine and gateway
Platform makes new module or provider available without altering existing modules; existing analysis continues