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P2P_AI, a digital media innovation firm focused on reshaping how Nigerians engage with news, approached Oodles for a solution that could automate the process of turning trending stories into interactive polls. The client sought a backend-driven system to fetch trending topics, analyze news articles from local sources, and generate polls using AI. Oodles delivered a dynamic backend setup with Django, LLM integration, and Docker support.
The client aimed to automate real-time topic tracking and transform content into engaging audience polls. The client required a backend solution with trend fetching, article parsing, poll creation, and a flexible deployment mechanism. Oodles designed the solution to cover areas of work like topic extraction, LLM-powered poll generation, secure environment configuration, and Docker-based deployment.
To address the client's requirements, Oodles implemented a modular and AI-enhanced backend system using Django and Python 3.10.
Key features include:

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