
Roshan developed an Emotion Analysis API endpoint for call recordings in the CINTELLILABS/docs repository, enabling AI-driven detection of dominant emotions within audio data. The work involved designing the endpoint’s surface, defining request parameters, and specifying the response schema, all documented in Markdown. Roshan integrated AI analysis capabilities while ensuring data privacy by implementing data sanitization to remove real data during development. The project focused on robust API documentation and clear contract definition, laying a foundation for future analytics and business insights. The depth of the work is reflected in the careful attention to endpoint design, documentation, and data handling practices.

Month 2025-01 Summary: Delivered a new Emotion Analysis API Endpoint for Call Recordings in CINTELLILABS/docs, enabling AI-powered analysis to identify the dominant emotion in a call. Endpoint surface, request parameters, and response schema implemented; data sanitization applied to remove real data in development (commits 22da92b59732436b3ba32454ae86011249c5e7aa and e518edd8631ddaae03399c303e31f7171fa44988). No major bugs fixed this month; focus was on feature delivery, documentation readiness, and strengthening analytics capabilities. Technologies demonstrated include API design, AI integration, data privacy, and robust commit hygiene.
Month 2025-01 Summary: Delivered a new Emotion Analysis API Endpoint for Call Recordings in CINTELLILABS/docs, enabling AI-powered analysis to identify the dominant emotion in a call. Endpoint surface, request parameters, and response schema implemented; data sanitization applied to remove real data in development (commits 22da92b59732436b3ba32454ae86011249c5e7aa and e518edd8631ddaae03399c303e31f7171fa44988). No major bugs fixed this month; focus was on feature delivery, documentation readiness, and strengthening analytics capabilities. Technologies demonstrated include API design, AI integration, data privacy, and robust commit hygiene.
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