FOCUS
Overcome Procrastination with Cognitive Science
A research-backed productivity app designed to rewire your brain for peak performance and sustained concentration
What is Focus?
Cognitive Science Meets Productivity
Literature Survey
Our extensive review of cognitive psychology and neuroscience research reveals the underlying mechanisms of procrastination and attention disorders.
- ■Neuroplasticity & habit formation
- ■Dopamine-driven motivation systems
- ■Cognitive load theory applications
- ■Behavioral intervention strategies
Research Gap
Existing productivity apps lack scientific grounding and personalized cognitive interventions.
- ■Generic one-size-fits-all approaches
- ■Missing real-time behavioral analysis
- ■Lack of adaptive learning systems
- ■No cognitive pattern recognition
Research Problem & Solutions
How can we leverage machine learning and cognitive science to create personalized anti-procrastination interventions?
- ■AI-driven behavior prediction
- ■Personalized intervention timing
- ■Gamified cognitive exercises
- ■Real-time attention monitoring
Research Objectives
Our primary goals focus on measurable improvements in user productivity and cognitive performance.
- ■Reduce procrastination by 40%
- ■Improve sustained attention spans
- ■Build lasting productive habits
- ■Enhance cognitive flexibility
Methodology
A multi-phase research approach combining qualitative and quantitative methods.
- ■User behavior data collection
- ■A/B testing of interventions
- ■Longitudinal cognitive assessments
- ■Machine learning model training
Technologies
Cutting-edge tech stack designed for scalability and real-time processing.
- ■React Native / Flutter for mobile
- ■TensorFlow for ML models
- ■Python/FastAPI backend
- ■Firebase real-time database
Milestones
Our Research Journey
Project Proposal
Release 1.0
Progress Presentation I
Release 2.0
Progress Presentation 2
Research Paper
Website Assessment
Logbook
Final Report
Final Presentation & Viva
Downloads
Access Our Research Documents
About Us
Meet Our Team
Team Member 1
Project Lead & ML Engineer
Specializing in machine learning algorithms for behavioral prediction and cognitive modeling.
Team Member 2
Full Stack Developer
Expert in building scalable applications with React Native and cloud infrastructure.
Team Member 3
UX/UI Designer
Creating intuitive and engaging user experiences backed by cognitive psychology principles.
Team Member 4
Research Analyst
Conducting user studies and analyzing behavioral data to validate our hypotheses.
Supervisor
Dr. [Supervisor Name]
Department of Computer Science, SLIIT
Achievements
Our Research Impact
Research Paper Published
Beta Testers
Productivity Increase
User Rating
Download Now
Start your journey to peak productivity. Available on iOS, Android, and Web.
Contact Us
Get in Touch
Let's Connect
Have questions about our research or interested in collaboration? We'd love to hear from you. Reach out to our team for inquiries, feedback, or partnership opportunities.