Guided Projects by Spartificial is a Curated Mentorship program for college students with access to expert mentors who can guide them through the process of completing a project. Our goal is to help students develop critical thinking and problem-solving skills, and to gain a deeper understanding of the subject matter. We believe that by working closely with students and providing them with the support and resources they need, we can help them to achieve their full potential.

Q. What type of projects do we take into account?
Spartificial specializes in guiding projects that apply Data Analysis, Data Science, and Machine Learning in the field of Sustainable Development, Aerospace, Space Technologies, and Astronomy. These are bachelor's semester projects, Research Projects or master's thesis projects.

Q. Where can the students use these projects?
The projects that students work on with Spartificial can be used in a variety of ways. The skills and knowledge gained from these projects can be applied to a wide range of industries and fields that rely on data analysis, data science and machine learning, such as aerospace, space technologies, and astronomy.
Furthermore, the projects can also be used as portfolio/resume pieces to showcase the student's skills and knowledge to potential employers in the field. Additionally, these projects can be used as a steppingstone to further academic research in the field of data analysis, data science and machine learning.

Q. What would be the flow of this Guided Project Program from registration to project conclusion?

1. The flow of a Guided Project with Spartificial typically begins with the enrollment process. During this stage, students will be required to submit an application outlining their background, experience, and goals for the project. After the enrollment process, students will be matched with an expert mentor who will work with them throughout the project.
2. Once the project begins, students will work closely with their mentor to establish project goals and objectives, and to develop a plan for completing the project. The mentor will provide guidance and feedback on the student's work and will help the student to troubleshoot and problem-solve as needed.
3. During the project, the student will be expected to complete the assigned tasks, attend virtual meetings, and submit progress reports to their mentor. The mentor will provide feedback and guidance to help the student stay on track and make steady progress.
4. As the project comes to a close, the student will be expected to complete a final report and presentation to showcase their work and the outcomes of their project. The mentor will review the final report and presentation and provide feedback and guidance for any final revisions.
5. Once the final report and presentation are completed, the project will be considered concluded, and the student will have gained valuable experience and knowledge in data analysis, data science and machine learning.

Maximum members in a team: 4

Fees: INR 1250/- per week per team

Duration: You can choose (Min 2 weeks - Max 16 weeks)

- Duration of 2 to 5 weeks is good for guidance on an on-going project, where members know what to build and need a good starting point and resources to learn more about the domain.

- Duration of 6 to 10 weeks is good for building and learning about the complete project pipeline given that members have some idea about the domain of project.

Note: Keep in mind that the duration of project can be extended. An extension form will be provided if you think you need more guidance on the project.

To get more information about the Guided Project, check out: Guided Projects at Spartificial - Students' Guidelines

Contact @6205199561 (WhatsApp) for more information.