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intern_alice
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Weekly Top-3 Bonus Streak 0 / 3 Qualified
Rank top 3 in 3 solutions in a week for ₹5,000 bonus (₹10,000 for 5+ solutions).
₹0 Bonus Earned
Resets every Wednesday 00:00 UTC
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Submissions History

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Rate: ₹85/USD
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Eligible INR earnings

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Total Payouts Earned
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Leaderboard Prizes
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Payout Transactions History

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Multi-Account Payout Audit & Conflict Allocations

When multiple interns share a single proxy account for a challenge, only the highest-scoring intern appears on the leaderboard. Use this tool to inspect non-visible interns and manually issue eligible payouts.
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Intern payout ledger

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Payout Account & Profile Metadata

Configure your settlement payout channels (UPI / Bank Account) and contact info.

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Proxy Account Pool

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System Configuration & Credit Allocation Pool Limits

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Active Interns: --
Base Limit / Intern: -- credits/day

Registered Intern Accounts & Daily Credits

Username Contact & Payout Status Credits (Used/Limit) Base + Bonus Actions
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Active Challenge Routing & Bindings

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Registered Admins

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Challenge Title

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Challenge Status

Solver Slots: X/10
Closing status: Open
Prize Pool: ₹20K Pool
4-Hr Solution Credits: 6/6
Daily Intern Limit: --/-- remaining
Proxy Route Account: --
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Submissions Closed
This challenge is closed or in lockdown mode. New submissions are no longer accepted.

Submit Solution

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Click or drag CSV output

Pre-Submission Checks & Pipeline

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CSV Score Validation
Grading your uploaded submission CSV against test dataset
Prompt Compliance
Checking that submitted solution follows explicit challenge requirements
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Held-out Answer Ingestion
Verifying solution does not exploit held-out test set labels
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Your Submissions

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Leaderboard

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Solution submission instructions

Upload one Python script or notebook and one sample submission CSV. You do not enter paths in the UI—the platform supplies them when your code runs.
Runtime command
python3 solution.py <public_dir> <submission_out>
Starter pattern
import sys
from pathlib import Path
import pandas as pd

public_dir = Path(sys.argv[1])
submission_out = Path(sys.argv[2])

train = pd.read_csv(public_dir / "train.csv")
test = pd.read_csv(public_dir / "test.csv")

# Images, if present:
# image_path = public_dir / "train" / f"{image_id}.png"

# Train and predict...
submission_out.parent.mkdir(parents=True, exist_ok=True)
submission.to_csv(submission_out, index=False)

Edit Intern Contact & Payout Details

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Bonus / Penalty Credits

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Bonus credits increase total daily submissions for today. Penalty credits reduce total daily quota. Set to 0 to clear all adjustments.
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💵 Manual Payout Allocation

Target Intern: --
Challenge: --