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Our project screenshot (developed)
Inspiration
College students often need to search through multiple websites, PDF documents, notices, and messaging groups to find important academic and campus-related information.
We wanted to explore how artificial intelligence could make this process simpler. This inspired us to develop CampusAI, a smart campus assistant designed to make reliable campus information easier to access.
What it does
CampusAI is an AI-powered assistant designed to help students navigate everyday college life.
Its planned capabilities include:
Answering campus-related questions through a conversational interface.
Helping students find information in college notices and documents.
Summarizing lengthy announcements into concise explanations.
Making academic resources and campus information easier to discover.
Helping students access information without manually searching through multiple documents.
The application is designed to prioritize relevant information from its available knowledge base.
How we built it
The proposed application uses a web-based frontend connected to a backend that processes student questions.
The backend retrieves relevant information from a collection of campus documents and resources. An AI model can then use that information to generate a contextual response.
The planned AWS architecture uses Amazon Bedrock for AI-powered responses, AWS Lambda for backend processing, Amazon S3 for document storage, and Amazon DynamoDB for structured campus information.
We aim to keep the architecture modular so that additional features and integrations can be introduced as the application evolves.
Update this section to describe your actual architecture, implementation, and AWS integrations.
Challenges we ran into
One of the main challenges is ensuring that AI-generated answers are relevant to the information available in the knowledge base.
Another challenge is organizing campus information so that students can find useful answers without navigating through numerous documents.
We also need to consider response quality, usability, and the possibility that the application may not have enough information to answer a question accurately.
Our approach is to retrieve relevant source information, provide appropriate context to the AI model, and make it clear when the available information is insufficient.
Accomplishments that we're proud of
We are working toward a practical solution to a problem that many college students experience.
CampusAI brings together the ideas of conversational AI, document discovery, and campus information access in a single application.
Our goal is to make everyday academic information easier to find while exploring how cloud-based AI services can support useful student-facing applications.
Replace these statements with specific accomplishments from your working prototype before submitting.
What we learned
This project offers an opportunity to explore how AI models, backend services, document retrieval, and cloud infrastructure can work together in a practical application.
It also highlights the importance of grounding AI-generated answers in relevant information, designing a straightforward user experience, and testing an application against realistic user questions.
What's next for CampusAI — Your Smart Campus Assistant
Future improvements could include multilingual support for Indian students, voice-based interactions, personalized reminders, campus event discovery, and integration with official college portals.
We also aim to improve document retrieval, provide clearer source references, and expand the system to support more colleges and universities.
Built With
- fastapi
- javascript
- python
- react
