Zoggy - A Conversational Chatbot for the Third Sector

由于COVID-19疫情对经济及社会的影响，市民咨询局（CAB）等机构对咨询服务的需求已增至前所未有的水平。由于这些组织主要由志愿者提供服务，因此这些组织人手不足，无法满足这一需求。这不仅影响到工作人员的疲劳，而且导致等待时间增加，从而导致效率低下。这是英国及其他地区许多非营利组织的代表。我们希望通过使用对话式AI聊天机器人来解决这个问题。由于法律和指导的不断变化，大量的信息在本质上是动态的，这意味着基于标准规则的聊天机器人将不是一个实际的解决方案。我们的聊天机器人将使用一种混合方法，将配置的规则用于填充插槽，并结合机器从内容中学习的故事。我们的解决方案将随着培训而发展，并在回答复杂的用户查询时更有效。“扩展影响”-借助“扩展影响”，我们将把创新从可演示的原型转变为可部署的最小可行产品（MVP），为市场购买和客户部署做好准备。

Due to the economic and social impact of Covid-19 pandemic, demand for advisory services from organisations such as Citizens Advice Bureau (CAB) has increased to unprecedented levels. As organisations served predominantly by volunteers, these organisations are understaffed and are unable to meet this demand. This not only impinges on staff fatigue but also results in increased waiting times resulting in inefficiencies. This is representative of many non-profit organisations across the UK and beyond. It is this problem that we wish to solve by using Conversational AI Chatbots.Large volumes of information which is dynamic in nature due to constant changes in law and guidance, means that standard rule based Chatbots won't be a practical solution. Our Chatbot will use a hybrid approach of configured rules for slot filling, combined with machine learnt stories from content. Our solution will evolve with training and be more effective in answering complex user queries."Extension for Impact" - With the help of "Extension for Impact", we will move the innovation from a demonstrable prototype to a deployable Minimum Viable Product (MVP) that is ready for the market to buy-in and customer deployment.