Chatbot for Educational Institutions for US Edtech Leader

Project background

The project aims to leverage generative AI for education to enhance content creation, addressing educators’ time-consuming challenges in crafting personalized assessment questions. ​

By streamlining this process and offering a variety of question types, the project promotes efficiency, engagement, and adaptability in the educational landscape. It emerged in response to educators’ need for a tool that captures context-relevant assessments, ultimately enriching students’ learning experience.

The main goal of e-learning platform development was to create more engaging learning experiences for teachers and students by improving digital educational tools and methods. To achieve this, the organization aimed to enhance the efficiency of educational processes, optimizing time and resources with innovative technologies like generative AI to stand out in the competitive market.

Business needs

Product features

– Empower teachers to generate assessment questions for different topics, including IT, software development, and business; ​

– Enable the creation of different types of questions with AI chatbot for education: open questions, essay answers, checklist questions, etc.; ​

– Customize questions for different educational goals; ​

– Ensure an intuitive and easy-to-use e-learning platform; ​

– Promote collaboration among educators for question creation;​

– Get data-driven insights from the AI chatbot for educational institutions.

Features in Development:

Generative AI Slack bots designed to facilitate Q&A sessions against Confluence, Zendesk, SharePoint, and PDF files, streamlining information retrieval and collaboration processes.​

Story Generator – ChatGPT-4 story writer for students who learn to read English based on topic, phonetic rules and dictionaries.​

Essay Grading Assistant – Generative AI chatbot for educational institutions to evaluate students’ essays using predefined criteria.​

Lesson Objective Generator – Generative AI recommendation system to provide teachers with an advanced set of lesson objectives using lesson content.

Solution

In response to the identified challenges and needs, the following POC and MVP solutions have been developed:

Assessment AI Chatbot for Education: ​

This core feature empowers teachers to generate diverse assessment questions. ​It enables the creation of open-ended questions, multiple-choice questions, and essays. Educators can easily tailor questions for various subjects, such as history, math, science, and literature, thereby streamlining the question-creation process.

Scalability and Performance:​​

The product is designed for scalability, ensuring that it can efficiently handle a growing user base without compromising performance. This scalability enables continuous improvements and increased user satisfaction.

Enhanced User Experience:​ ​

A user-friendly interface of AI chatbot for schools ensures that teachers and students can navigate the platform with ease. Minimal training is required to foster an efficient and accessible educational environment.​

Data Security and Privacy Measures:​ 

Robust data privacy controls have been implemented to safeguard sensitive information. These measures ensure data security and compliance with privacy regulations, fostering trust among users.​

Language Model Integration:​​

The integration of advanced Large Language Models (LLMs),  including GPT-3 and GPT-4, enhances the quality and diversity of generated questions. This feature ensures that questions are engaging and aligned with the latest AI advancements for education.

Data-Driven Insights: ​

The product provides valuable data analytics and insights to track student performance. These insights generated by a chatbot for educational institutions lead to more informed and data-driven decision-making.

Our technology stack

• AWS SageMaker​
• AWS ECS (Elastic Container Service)​
• AWS Lambda​
• AWS S3 (Simple Storage Service)
• Langchain​
• LlamaIndex​
• LangGraph
• Pinecone​
• FAISS ​
• ChromDB
• ChatGPT​
• Antropic​
• LLAMA​
• Mistral
• AWS Bedrock​
• AWS KnowledgeBase
• Python

Client values