Arijit Pal
Arijit Pal is the Project Lead, responsible for overseeing the entire project lifecycle. With a strong background in machine learning, He coordinates tasks, manages timelines, and ensures alignment across all aspects of the project. arijit also plays a crucial role in guiding the development of predictive models and ensures that the machine learning algorithms are optimized for accuracy and efficiency. Additionally, he handles stakeholder communication and ensures that the project meets its objectives effectively, leveraging cutting-edge machine learning techniques to achieve impactful results. [He/She/They] also continuously monitors project progress, making data-driven adjustments to keep the project on track and aligned with its goals.
Paramita Dey
Paramita Dey as the Backend Developer for our Breast Cancer Prediction project, plays a key role in building a robust and scalable server-side infrastructure. She excels in designing and implementing APIs for seamless frontend-backend communication, managing databases to ensure secure and efficient data handling, and integrating predictive models for accurate results. Additionally, she has provided valuable support in frontend development by assisting with user interface design and ensuring smooth integration between frontend and backend components. Utilizing technologies such as Django,Django REST Framework (DRF),Python. Paramita ensures that the backend remains reliable, high-performing, and capable of managing complex data and user demands.
Sounak Karan
Sounak Karan serves as the Data Analyst, managing the collection, analysis, and interpretation of data crucial to our project. He is responsible for extracting actionable insights that drive informed decision-making, ensuring that every aspect of the project is grounded in solid data. He meticulously cleanses and preprocesses data to maintain accuracy and reliability, identifies trends and patterns that guide our strategy, and collaborates closely with the team to translate these insights into practical applications. In addition to analyzing the data, saunak presents findings in a clear and meaningful way, making complex information accessible and understandable for the entire team, ultimately contributing to the overall success of the project.
Anshu Rani
Anshu Rani, as the Frontend Developer, designs and implements the user interface, ensuring it is both functional and visually appealing. She expertly uses HTML, CSS, and JavaScript and animation library like Locomotivejs gsap and framer to create a seamless user experience. Anshu crafts the interface to be responsive across devices, enabling easy navigation on desktops, tablets, and mobile devices. She also prioritizes accessibility, making the design inclusive and user-friendly for all individuals. Her attention to layout, color schemes, and interactive elements ensures that users can effortlessly input data and view prediction results with accuracy. Anshu's dedication to detail and user-centric design significantly enhances the overall usability and effectiveness of the application.