I have completed my Mini Project Predico using Machine Learning, Business Intelligence and Python. Give a star :)
It might have happened so many times that you or someone yours need doctor’s help immediately, but they are not available due to some reasons.The Disease Prediction system is an end user support and online consultation project. Here, we propose a web application that allow users to get instant guidance on their disease through an intelligent system. The application is fed with various details and the disease associated with those details.The application allows user to share their disease related issues.It then processes user specific details to check for various illness that could be associated with it.Here we use some intelligent data mining techniques to guess the most accurate illness that could be associated with patient’s details. Based on result, patient can contact doctor accordingly for further treatment.
Frontend Deployed URL 👉 Click here
Backend API 👉 Click here
- Account creation, login, signup and logout functionality.
- Sign-up and log-in validations.
- User Authentication
- Data fetching from Backend
- Responsive for all screen sizes
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For signup, user need to fill required details. If user is already exists then it will show you an error. So you can't register again with the same email.
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- ◉ Python : 60%
- ◉ HTML : 10%
- ◉ CSS : 10%
- ◉ JS : 15%
- ◉ Others : 5%
This report is provided by the Github language used stats. So, this is the total percentage of the coding languages.
- Python
- Django
- Joblib
- scikit-learn
- Clone the repository to your local machine
- Navigate to the project directory
- Run
pip install -r requirements.txtto install the required dependencies - Run
python manage.py makemigrationsto make Migrations - Run
python manage.py runserverto Run Server - Navigate to
http://127.0.0.1:8000/in your browser
- Aditya Konda (Team Lead)
- Rashi Mall (Team Member)
- Anmol Gupta (Team Member)
- ArpitKumar Mishra (Team Member)
This is a collaborative project built by a team of 4 fullstack web developers and executed in 12 days.
First of all, we created a Slack and zoom group to establish communication between all the team members. Then we connected over zoom meet for further discussion about assigned project.
In a zoom meet we divideed small parts of project to all the team-member.
We discussed about past days work and present day work, if any one face issue all the team member helps to solve the problem.
All push the data in Git-hub to their respective branch and merge them to main branch.
Finally we make the presentation of the project.
On this journey we faced many issues, but we keep motivated each other with patience.
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We all learned how to read and understand the code of other team members.
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We learned how to write more efficient and clean code.
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Even though We also learned how to plan a project and how to execute it step by step.
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By this Project we have learned how to collaborate and communicate with team effectively and improving the productivity.
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We also got a glimpse of using GitHub for the version control.
We welcome contributions to the Predico website. If you have an idea for a new feature or have found a bug, please open an issue in the repository.
Give a ⭐️ if you like this project!
This is me Aditya Konda, a third year Information Technology undergraduate from K.C College Of Engineering, India.
An aspiring Full-Stack Software Developer, Competitive Programmer and Full Stack Web Developer
"---Always Work Hard and Trust the Process---"
- 🧞 I'm a Tech Enthusiast since childhood.
- 🔭 I’m currently working on Fullstack Web Development.
- 👯 I’m looking to collaborate with Fullstack Web and Mobile Developement projects.
- 💡 Contributing to Open Source Projects is always been a goal to me.
- ⚡ Fun fact: I love Sports, especially volleyball.
✨ Tech stack currently using:
🌱 Looking forward to learn:
📔 GitHub Stats:
