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Technologies Involved:
REACT NATIVE
DJANGO
Area Of Work: Chat bot
Project Description

A tech entrepreneur focused on digital productivity approached the platform to build a revolutionary single-user AI chatbot. Their vision was to replace traditional app interfaces with one intuitive chat window. The requirement was a cross-platform, store-ready app that could organize diverse user data through natural language commands. A robust, ultra-efficient solution was delivered using cutting-edge AI and automation.
Scope Of Work

The engagement required Oodles to architect a chat-driven application from the ground up, with a strong emphasis on modularity, AI integration, and multi-platform readiness. The client's core challenge was unifying disparate data inputs — files, voice, location, and sensor data — into a single coherent interface backed by intelligent storage and retrieval. Oodles' scope spanned backend architecture, AI orchestration, vector storage implementation, real-time knowledge graph generation, and deployment across platforms.
Our Solution

Oodles developed the application on a lean, purpose-built tech stack chosen for speed, cost-efficiency, and long-term scalability. The following features were designed and delivered:

 

  • Single-Page AI Chat UI: A unified chat window with drag-and-drop, voice, and sensor-based uploads.
  • Multi-format Input Handling: Real-time support for text, speech, camera, location, and file types.
  • Vector Database Integration: Chroma was used for fast vector search and chunking of uploaded content.
  • Binary Storage: Icedrive supported low-cost storage of large files with minimal latency.
  • Graph-based Knowledgebase: Neo4j AuraDB visualizes user-generated data into dynamic knowledge graphs.

The result is a store-ready application that gives users one interface to capture, organize, and retrieve personal knowledge across devices.

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