About customer:
Gujarat Technological University is a premier academic and research institution which has driven new ways of thinking since its 2007 founding, established by the Government of Gujarat vide Gujarat Act No. 20 of 2007. Today, GTU is an intellectual destination that draws inspired scholars to its campus, keeping GTU at the nexus of ideas that challenge and change the world.
Challenges:
The GTU website contains comprehensive information for students, but navigating the site can be challenging. The numerous URLs and menus make it difficult and time-consuming for students to
find the information they need. Despite the availability of information, its accessibility and usability
are hindered, leading to underutilization. A better solution would be a system where students can
get accurate answers to their relevant questions quickly. This solution should prioritize ease of
access, accuracy, and ease of updates to ensure students can effectively use the information
provided.
Main points
● Intuitive interface for ease of access
● Near correct information
● Easy to update with the latest information on the website.
● Cost effective
● Security if needed.
Need of GEN AI Assistant for GTU
Interactive Prompt System:
○ Natural Language Processing (NLP): Allows students to interact with the AI in plain language, making it easy to ask questions and get responses.
○ Conversational Interface: Simulates a human-like conversation, making the experience more engaging and user-friendly.
Comprehensive Information Access:
○ Admissions Queries: Provides detailed information on admission criteria, deadlines, required documents, and application procedures.
○ Course Information: Details on various programs, courses, syllabi, faculty, and career prospects.
○ Campus Facilities: Information on campus amenities, libraries, laboratories, sports facilities, and accommodation.
24/7 Availability:
○ Constant Access: Students can get information anytime without the need to
wait for office hours or navigate through multiple web pages.
Personalized Responses:
○ Tailored Information: Based on the student’s profile and previous interactions, the assistant can provide personalized advice and reminders.
Integration with University Systems:
○ Seamless Data Access: Integrates with the university’s databases and systems to pull real-time information, ensuring accuracy and up-to-date responses.
○ Application Tracking: Allows students to check the status of their applications and submissions.
Multi-Language Support: (Optional)
○ Diverse Student Body: Supports multiple languages to cater to international students, enhancing accessibility and inclusiveness.
Propose Solution
Solution Components:
Data Access and Preparation:
○ GTU will provide the list of publicly available URLs to Electromech Cloudtech Pvt. Ltd. (EMCPL).
○ EMCPL will preprocess and clean the data to prepare it for AI model training.
AI Model Training and Fine-Tuning:
○ EMCPL will utilize AWS bedrock services to train the AI model
○ The AI model will be fine-tuned to understand contextual relationships and provide accurate references.
Backend API Development:
○ A RESTful API will be developed to facilitate communication with the trained AI model.
○ The API will enable efficient retrieval of research references based on user queries.
Frontend Interface Development:
○ GTU will develop a user-friendly frontend interface.
○ The interface will allow students to input queries and receive information in a clear and organized manner.
User Access Management:
○ GTU will manage user access to the system, providing login credentials and access privileges to students as needed.
○ Access will be restricted to ensure that sensitive research data remains private and secure.
The AWS serverless track is selected for the Cloudkida platform
● AWS Bedrock Titan
● AWS Bedrock Mistral
● IAM
● EC2
● RDS
● Dynamodb
● Opensearch
Third party services used
● Docker
Refrence Architechture
RAG (Retrieval Augmented Generation) helps alleviate these issues
It enhances LLMs by dynamically retrieving external information during the response generation process, thereby expanding the model’s knowledge base beyond its original training data. RAG-based solutions incorporate a vector store which can be indexed and queried to retrieve the most recent and relevant information, thereby extending the LLM’s knowledge beyond its training cut-off. When an LLM equipped with RAG needs to generate a response, it first queries a vector store to find relevant, up-to-date information related to the query. This process ensures that the model’s outputs are not just based on its pre-existing knowledge but are augmented with the latest information, thereby improving the accuracy and relevance of its responses.
Key Benefits
Below are the major benefits of the AWS Generative AI services to the GTU.
Benefits for Students and the University
● Enhanced Student Experience: Quick and accurate information reduces frustration and enhances satisfaction.
● Operational Efficiency: Reduces the workload on administrative staff, allowing them to focus on more complex queries and tasks.
● Increased Accessibility: Ensures that all students, regardless of their schedule or location, have access to vital information.
● Data-Driven Insights: Collects data on common queries and issues, providing valuable insights for the university to improve services.
● 24×7 access : accurate and updated information available
Conclusion
Implemented an Intelligent QA System for the Gujarat Technological University (GTU) website, significantly improving how students access information. By leveraging Natural Language Processing (NLP), this solution allows students to ask questions in plain language and receive accurate, up-to-date answers instantly. Key features of the system include:
● Ease of Access: A user-friendly interface where students can simply type their queries.
● Accuracy: Rigorous training and regular updates to the NLP model ensure precise
responses.
● Efficiency: Quick information retrieval without navigating through numerous web pages.
● Scalability: Ability to handle a large volume of queries efficiently.
● Easy Maintenance: Simple mechanisms for updating the knowledge base to keep
information current.
● Overall effective utilization of information has increased by almost 90%.
This system saves students time, improves the usability of GTU’s information resources, and
ensures that accurate information is readily available. By adopting this approach, GTU has
enhanced the student experience and made its website a more effective tool for information
dissemination.