Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for HackSphere
HackSphere
Inspiration
As students, we often switch between multiple apps to manage assignments, track deadlines, collaborate with teammates, and clarify doubts. This constant context-switching reduces productivity and increases stress.
We were inspired to build HackSphere as a unified, AI-powered academic companion that brings task management, collaboration, and intelligent assistance into one seamless mobile experience.
We also wanted to challenge ourselves to integrate Swift/Android development with Google and AWS technologies within a 12-hour hackathon environment.
What it does
HackSphere is a smart productivity and collaboration app for students that allows users to:
📷 Scan assignments and extract deadlines using OCR 🤖 Ask academic questions through an AI assistant ⏱ Use a built-in focus timer to track productivity 👥 Create group study rooms with real-time collaboration ☁ Sync tasks and notes securely across devices
To measure productivity, we implemented a simple efficiency model:
Efficiency= Total Planned Study Time Focused Study Time
×100
This gives users a clear visual representation of how effectively they are managing their time.
How we built it
📱 Frontend Developed using SwiftUI (iOS) / Jetpack Compose (Android) Focused on a clean and intuitive UI 🔍 OCR Integration Used Google ML Kit to extract text from assignment images Applied pattern matching to detect deadlines and keywords 🤖 AI Assistant Integrated AWS Bedrock / Google Gemini API Built a chat-based interface for summarization and doubt solving ☁ Backend & Database Implemented Firebase Authentication for secure login Used Firestore for real-time database syncing Structured backend to support scalability
We divided tasks efficiently among team members to maximize productivity within the 12-hour constraint.
Challenges we ran into
⏳ Time Constraints: Building multiple features within a short timeframe required prioritization. 🔐 API Authentication Issues: Managing tokens and secure requests was complex. 🔍 OCR Accuracy: Extracted text sometimes required additional filtering for correct deadline detection. 🔄 Real-Time Sync Optimization: Ensuring smooth database updates without lag was challenging.
Accomplishments that we're proud of
Successfully integrating AI + Cloud + Mobile technologies Delivering a working prototype within 12 hours Implementing real-time collaboration Designing a clean, student-friendly user interface Creating a measurable productivity system
What we learned
Through HackSphere, we learned:
How to integrate multiple APIs into a mobile ecosystem Efficient cloud data handling and authentication The importance of UI/UX in productivity apps Team coordination under intense time pressure Rapid problem-solving and debugging techniques
This hackathon strengthened both our technical and collaboration skills.
What's next for HackSphere
We plan to:
Add personalized AI-generated study plans Introduce gamification elements and leaderboards Improve OCR accuracy using better NLP parsing Deploy cross-platform support Implement analytics-driven performance insights
HackSphere has the potential to grow into a fully scalable student productivity ecosystem.
Log in or sign up for Devpost to join the conversation.