Career Progress Manager
LANCER
Lancer:
<= 2 resources OR <=3 weeks effort OR <=$3000 USD
Growth:2 - 4 resources AND upto 4 months OR
upto $30000 USD
Enterprise:Everything else
(Development)
Project Description
A tech-forward media startup aiming to simplify information access approached Oodles to build an AI-powered conversational chatbot. They needed an intelligent assistant that could respond naturally to voice and text, helping users find detailed content efficiently. The solution enabled real-time, accurate responses using natural language understanding and voice recognition.
Scope Of Work
The client required a conversational AI assistant capable of understanding voice/text queries, retrieving real-time information, and engaging users naturally. The project covered chatbot design, voice integration, and backend processing. It focused on building AI-driven interactions, optimizing intent recognition, and streamlining user information access via automation.
Our Solution
To bring the client’s vision to life, Oodles implemented a smart chatbot using AWS Lex for natural language understanding and speech recognition. The chatbot was trained on multiple intents and contextual dialogue flows to guide users across different topics—starting from a general question to delivering specific details.
Key Features:
- Multi-intent Chatbot Design: Covers various user queries with dynamic follow-up interactions.
- Voice Recognition Integration: Converts speech to text with natural responses using AWS Lex.
- Context-Aware Dialog Flow: Handles layered user queries in real-time.
- Smart Data Retrieval: Uses Elasticsearch to fetch structured data instantly.
- Serverless Backend Logic: AWS Lambda powers logic handling without dedicated server load.
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