https://github.com/spaciouscoder78/masika
Menstrual Cycle Tracker made during CBIT Hacktoberfest'24
https://github.com/spaciouscoder78/masika
cbit-hacktoberfest firebase menstrual-tracking reactjs
Last synced: 10 months ago
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Menstrual Cycle Tracker made during CBIT Hacktoberfest'24
- Host: GitHub
- URL: https://github.com/spaciouscoder78/masika
- Owner: SpaciousCoder78
- License: gpl-3.0
- Created: 2024-10-27T04:43:57.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-28T02:12:48.000Z (over 1 year ago)
- Last Synced: 2025-04-02T05:51:39.426Z (10 months ago)
- Topics: cbit-hacktoberfest, firebase, menstrual-tracking, reactjs
- Language: JavaScript
- Homepage:
- Size: 1.01 MB
- Stars: 1
- Watchers: 1
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# masika






Menstrual Cycle Tracker made during CBIT Hacktoberfest'24
## Developed As Part Of

## Team - Red Bug Redemption
Team Member
Role
Shastha Tyarla
Team Lead & Coding
Bhanu Prakash Kokku
Coding & Bug Fixing
Aryan Karamtoth
Deployment & Documentation
Salman Imran Syed
Presentation & Bug Fixing
## Objective
To empower women with extensive tools for tracking menstrual health.
## Features
Tracking: Stores your data securely on Cycle tracker, mood tracker, symptom, intensity tracker, medication and supplement tracker
Data Visualisation: Cycle phase, symptom tracker, monthly summary
Personal Insights: Get personal notifications and daily reminders and insights based on your age and cycle length
## Tech Stack
Used React for component based front-end development, Tailwind CSS for easy styling and Material UI for reusable UI components
Firebase for storing data and back-end.
## Uniqueness
- Implemented a special Chat bot using Chatbase.co.
- Storing and displaying medication and supplements data provided.
- Monthly summarisation contains list of all symptoms with average intensity and mood distribution throughout the menstrual cycle.
## Future Scope
- Using real time data of local medical specialists to schedule appointments.
- Instant ordering and scheduled ordering of medical supplies using market platforms.
- Syncing with wearable devices for data such as stress.
- Using actionable feedback to improve the platform.
- Enforcing custom notification based on medications to be taken.
## Presentation
[](https://www.youtube.com/watch?v=hTnPbJe9CAY)