1.Internship Overview

  • Type: Virtual / Online Internship
  • Duration: 4 Weeks
  • Domains: Web Development, Python, Java, C++, AI & Data Science, Machine Learning
  • Expected Time Commitment: 1–2 hours per day (flexible) or as required to complete tasks.

 2. Task Guidelines

  • Complete Any 3 Tasks:
    • Choose any 3 tasks from the domain-specific list provided.
    • You may do more if you want to go beyond expectations.
  • Work Format:
    • Complete each task as a mini project with working code.
    • Ensure your code is clean, functional, and tested.

 3. Task Submission

      All submissions must be compiled in a single Word Document (.DOC or .DOCX)

      [Submission Link will be shared with you in the last week of internship]

      Each task in the report should include the following:

   For Each Task:

  •   Task Title & Description
  • Tools/Technologies Used
  • Full Source Code (for all files: HTML, CSS, JS, Python, etc.)
    • Paste code with proper formatting
    • You can use code blocks or monospace fonts
  • Screenshot(s) of Output or Interface
    • Add clear images showing working output
  • Conclusion or Summary
    • What you learned, difficulties faced, and your experience with the task

     Tip: Keep each task in a separate section of the document (e.g., Task 1, Task 2, Task 3).

 4. Intern Behavior & Expectations

  • Be professional and respectful in all communications
  • Submit tasks on time and take initiative
  • Reach out to us freely if you face any difficulties

5. Certification & Fee

  • On successful submission of 3 tasks and review, you will receive an Internship Completion Certificate.
  • Certification Fee: ₹100
  • Exceptional performers may be considered for future opportunities or advanced roles.

    Please note: No stipend is provided for this virtual internship. Only 6-month offline internships are eligible for stipends.

6. LinkedIn Sharing (Compulsory)

  • Share your offer letter on LinkedIn and tag @DataPointer Technologies

  • Showcase your learning and projects for better visibility

 7. Support & Communication

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