aiShare Your Requirements
Technologies Involved:
PYTHON
Area Of Work: Machine Learning
Project Description

GHSRK AI, focused on building intelligent conversational platforms, aimed to create a feature-rich chatbot solution integrated with multiple AI models. The requirement centered on developing a scalable platform supporting blogs, location-based content, and real-time data insights while enabling seamless interaction across advanced AI systems.

Scope Of Work

The client sought Oodles to address the need for a unified chatbot platform capable of handling diverse content and AI integrations. The requirement involved frontend development, backend setup using BaaS, AI model integration, API connectivity, and database management. The scope included building a scalable system to support real-time responses, dynamic content delivery, and multi-model AI interactions.

Our Solution

To accelerate the client’s product vision, the MVP was engineered as a modular, scalable AI-first platform designed to handle multi-source input and intelligent output fusion. 

Key Features Delivered:

  • Search Interface with LLM Fusion: Integrated OpenAI, Gemini, Claude, and DeepSeek APIs using OpenRouter and direct connections. Built a ranking logic to prioritize high-relevance outputs from various models in real time.
  • Voice-to-Text Input: Enabled seamless voice interaction through the Web Speech API, allowing dynamic search input. Set up optional text-to-speech response playback for accessibility.
  • Document Upload + Summarization: Allowed users to upload PDFs and DOCX files. Used LLMs with chunking strategies to extract summaries, key points, and highlights per document type.
  • Multilingual Support Engine: Deployed AI-powered translation models to handle response rendering and UI localization in up to 10 languages. Language detection enabled automated content translation workflows.

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