ExamEase

• 

  Landing Page

• 

  Register Page

• 

  Login Page

• 

  Subject Page - Displays user added subject and their PDF notes

• 

  Subject View Page - Displays pdf and chat where user can study from notes and ask question to ai for their help from notes

• 

  Subject Add/Edit Page - For managing subject and PDF notes

• 

  Exam Schedule List Page - List all schedule Exams

• 

  Schedule view page - View page for exam scedule

• 

  Schedule Add/Edit Page - For managing Exam Schedule

• 

  Study Plan list View Page - To show study plan in list view in which user can navigate bettween dates

• 

  Study Plan Calendar view - To show study plan nicely in calendar plotting

• 

  Study Plan Calendar view2 - To show study plan nicely in calendar plotting

Inspiration

The idea for Exam Ease came from the need to simplify exam preparation. We wanted to build a platform that provides smart, efficient, and personalized tools for students.

What it does

Exam Ease offers curated study materials, generates question-answer PDFs, and creates personalized study plans using AI. It’s a comprehensive tool for exam preparation.

How we built it

We used Angular for the frontend, .NET to create APIs, and integrated ChatGPT with kernel memory for generating question-answer PDFs and study plans, ensuring a seamless and intelligent experience.

Challenges we ran into

We faced challenges in integrating AI seamlessly with the platform and managing data storage for generated PDFs. However, we overcame these through collaborative problem-solving.

Accomplishments that we're proud of

We successfully developed a smart and intuitive platform powered by AI, combining dynamic features like study plan creation and automated PDF generation—all within a tight deadline.

What we learned

We learned how to efficiently integrate Angular with .NET APIs, leverage ChatGPT for practical applications, and work as a team to deliver innovative features under pressure.

What's next for ExamEase

We aim to enhance AI capabilities, add real-time progress tracking, include multilingual support, and introduce community features for peer-to-peer learning.

Built With

• .net-core
• angular-material
• angular.js
• chatgpt
• entity-framework
• kernel-memory
• sql-server
• tailwind