Healthcare Clinic
LANCER
Lancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
(Development)
Project Description
A global tech client specializing in conversational AI approached Oodles to build a cross-platform chatbot demo for rapid deployment. The objective was to present Google Dialogflow capabilities within a web and mobile interface, while supporting integrations with leading messaging platforms. The solution aimed to boost client engagement and streamline bot testing across channels.
Scope Of Work
The client required a demo-ready chatbot interface from Oodles to be integrated with Google Dialogflow. The platform needed to support real-time web and mobile deployment using React templates, with added compatibility for Facebook and WhatsApp messaging. The goal was to create a fully functional prototype that could showcase end-to-end conversational flows.
Our Solution
To accelerate delivery, the project leveraged a flexible React.js template from Material UI, allowing swift customization for both web and mobile interfaces.
Key features included:
- Web & Mobile Interface Setup: Built using a responsive React template for seamless interaction across devices.
- Google Dialogflow Integration: Enabled smart, NLP-powered chatbot experiences.
- Multi-Platform Messaging Support: Integrated with Facebook Messenger and WhatsApp to simulate real-world use cases.
- Real-Time Chat Updates: Ensured dynamic UI rendering for every bot response or user action.
- Custom Bot Behavior: Enabled easy configuration of chatbot responses to demonstrate versatility.
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