AARTECH Internship Challenge 2025

We’re selecting 2 Entrepreneurs In Residence Interns for a special opportunity where you'll build something on your own—like a mini-founder—with our network and guidance.*

🎁 Rewards

• Top 10 entries: ₹500 Amazon Voucher

• Final 2 interns: 100-day internship | ₹30,000 stipend

Submit your tasks before 17th Sept 2025

⚡ RULES

You can perform ANY 1 of the below mentioned tasks

Option A — Flappy Bird (4 Controls)

Goal: Minimal playable clone with four inputs (e.g., Up, Down, Pause, Restart). App/Web/PWA - all are acceptable
Deliverables (submit all):

• Local demo proof: 45–90s screen recording showing gameplay + 4 controls.

• Repo link (GitHub/GitLab/Drive ZIP) with README: how to run, controls, tech used.

• Note any assets/frameworks used.

Acceptance checklist:

• Bird moves & collisions work

• Pipes/obstacles spawn & score increments

• 4 distinct controls function

Option B — Song Splitter

Goal: Split an input song into vocals, chorus/harmony, and individual instruments (as many as feasible).
Deliverables (submit all):

• 30–60s screen recording of your local run (input → separated stems).

• Download link to output stems (WAV/MP3) + original 15–30s test clip.

• README: pipeline, tools/models used, run steps, limits.

Acceptance checklist:

• At least vocals stem + 1 instrument stem cleanly separated

• Batch or scriptable command

• Basic quality comparison (1–2 lines: what worked/what bled)

Option C — Viewer Intelligence Crawler/Script

Input video: https://www.youtube.com/watch?v=ggJg6CcKtZE
Goal: Produce a reasoned estimate of viewer geography + demographics at city level granularity using open data, and reproducible code.

Deliverables (submit all):

• README: data sources, method, assumptions, and limitations.

• A 1-page summary (PDF/PNG) with charts/tables of your estimates.

• If APIs aren’t available, show indirect signals (comments language, timestamps, keyword geo-hints, related-video locales, channel audience, etc.). Be explicit about what’s inferred vs measured.

Acceptance checklist:

• Reproducible pipeline (runs end-to-end or to cached sample)

• Clearly labeled estimates with confidence notes

• At least one visualization (bar/pie/map)

Common Rules for all tasks submission 

Proof of work: Screen recording + README.

AI usage: Allowed—state tools used and how (in README).

Originality: Cite libraries/models; note what you built vs integrated.

File naming: Name_EIR_TaskA/B/C_*

Deadline: 17th Sept 2025

Submit the task by sending an Email to gour.sandesh@gmail.com with below details before 17th Sept 2025

Subject - "AARTECH Internship Challenge YourName_EIR_TaskA/B/C"

Body - 

1. Your Full Name 

2. Phone Number 

3. College Name and Branch

4. Graduation Year

5. Anything else about you that you would like to share for eg any side projects, Instagram pages, blogs, GitHub etc.?

6. Attach relevant tasks deliverables 

For any queries email with subject "AARTECH Internship Challenge Query" to "gour.sandesh@gmail.com"

*Note: The selection process is completely at the discretion of the organizers. Submission does not guarantee selection. The final decision will be based on quality, effort, and overall fit for the internship.