Key highlights
~ 50
faster student query response
30
quicker registration process
30
boost in student engagement
Challenges
Manual data preparation for RASA chatbots required significant labor and time.
Traditional support methods failed to address student queries about administration and courses.
Students struggled to navigate complex administrative processes and course details.
Solution
1
The solution used a conversational interface that employed natural language processing (NLP) to understand student queries and provide relevant answers.
2
The gen AI model retrieved accurate information from the internal knowledge base on courses, registration, finance, and certification to generate responses.
3
We continuously refined this model and updated the knowledge base to reflect new information and policy changes.
Impact
Enhanced student support
Provided 24/7 accurate responses and reduced wait times.
Increased administrative efficiency
Reduced workload for administration and tutoring teams.
Tracked application usage
Monitored real-time application usage and engagement.