Code Challenges
Build a working backend, frontend, integration, or data pipeline against a real-shaped spec.
- CodeBeginnerNew
Image Search for a DTC Furniture Retailer's App
Use a pretrained vision-embedding model (CLIP ViT-B/32 or DINOv2-small). Index a catalog of around 1,500 furniture images. Curate a small evaluation set of around 50 user-style …
- Image Embeddings
- Vision Transformers
- Image Search
Computer Vision (Undergraduate) - CodeFoundationalNew
Optimizing Inventory for a Barcelona D2C Cosmetics Brand
You are given a CSV file with 6 months of daily sales data for 20 SKUs, including product name, date, units sold, and current stock level. Your task is to write a Python program…
- Python Or Javascript
- Data Cleaning
- Data Analysis
Programming for Business Applications - CodeIntermediateNew
Build a 5-Stage Pipelined RISC-V Core in Verilog
Implement the 5-stage pipeline with: hazard detection unit, forwarding paths (EX/MEM to EX, MEM/WB to EX), pipeline stalls for load-use hazards, and a simple static branch-not-t…
- Pipelining
- Hazard Detection
- Verilog
Computer Architecture - CodeSeniorNew
PPO Alignment Loop with a Pretrained Reward Model
You receive a small open-weights base model (around 7B), a previously trained reward model, and 5,000 prompts (no responses) for PPO rollouts. Run PPO with TRL's PPOTrainer for …
- Rlhf
- Ppo
- Reward Hacking
Machine Learning from Human Preferences (RLHF and Alignment) Develop in-demand professional skills.
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- CodeBeginnerNew
Build a Product Knowledge Graph for a Fast-Fashion Retailer
You receive 200 sample SKUs across 4 markets (Spain, Germany, Japan, Brazil) as CSVs with country-specific attribute names. Design an OWL ontology with shared classes for Produc…
- Knowledge Graphs
- Owl Ontology
- Rdf
Knowledge Graphs and Semantic Web - CodeSeniorNew
Coordinate a Fleet of Warehouse Robots
Implement a simulated warehouse grid with 80 robots solving a pick-and-deliver workload. Design a decentralized coordination protocol (recommend a contract-net or auction-based …
- Multi Agent Coordination
- Decentralized Algorithms
- Simulation
Multi-Agent Systems - CodeSeniorNew
Implement Distributed Shared Memory Over RDMA for a Trading Firm
Build a DSM library in C++ exposing a region API (allocate, read, write, free). Use ibverbs for RDMA primitives (one-sided read/write, atomics for the directory). Implement dire…
- Distributed Systems Design
- Rdma
- Consistency Models
Advanced Operating Systems - CodeIntermediateNew
Predict Loan Default Risk for a Cross-Border Fintech
You receive 18 months of transactions (around 12M rows) and seller-firmographic data. Define a defensible proxy label for default (e.g., a 60-day chargeback-or-dispute spike com…
- Feature Engineering
- Model Selection
- Model Evaluation
Applied Machine Learning - Browse challenges
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Pricing Strategist
Set the price that captures value without leaving sales on the table. Demand modelling, willingness-to-pay research, and the disciplined experimentation that turns pricing into a competitive advantage.
- CodeSeniorNew
Architecture Patterns Spike for a Real-Time Multiplayer Backend
Implement minimal viable versions of all three patterns in Rust + Go (your pick of split): (1) authoritative server with 20 Hz snapshots and client-side prediction, (2) lockstep…
- Realtime Systems
- Architecture Spike
- Networking Patterns
Software Architecture - CodeIntermediateNew
Build a Self-Service Internal Developer Platform on Backstage
Stand up a Backstage instance (Docker-Compose for local, EKS for prototype hosting). Build 3 software templates: (1) New Go microservice (repo + CI + ECS service + Terraform + b…
- Internal Developer Platform
- Backstage
- Terraform
Cloud Computing - CodeIntermediateNew
Build a Hybrid Recommender for a Niche Consumer-AI Music App
You receive listening events (around 240 million plays) plus a content embedding per track (audio + curator tags). Build a collaborative filtering model (ALS or implicit-feedbac…
- Recommender Systems
- Collaborative Filtering
- Content Based Filtering
Data Mining and Knowledge Discovery - CodeSeniorNew
Grounded Language for a Robotics Pick-and-Place Demo
Use a tabletop simulator (PyBullet or Isaac Sim, both open) with 5 object types and 5 spatial relations (left of, right of, behind, in front of, on top of). Curate or generate a…
- Grounded Language Understanding
- Semantic Parsing
- Perception
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Why Ewance
- CodeIntermediateNew
Train an Object Detector for an Autonomous-Forklift Robotics Startup
You receive 12,000 labeled warehouse images (pallets, pedestrians, forklifts) plus a 1,500-image safety-test set heavy on pedestrian edge cases. Train an object detector (YOLOv8…
- Object Detection
- Yolo
- Edge Deployment
Deep Learning for Computer Vision - CodeIntermediateNew
Lambda-Calculus Semantic Parser for a Math-Tutor EdTech
Define a small typed lambda-calculus representation for linear equations and a small set of word-problem templates (rate, age, mixture). Build a parser that maps surface express…
- Semantic Parsing
- Lambda Calculus
- Symbolic Reasoning
Computational Semantics - CodeIntermediateNew
Extract Skills and Roles from Job Postings for a Recruiter Tool
You receive 30,000 anonymized job postings and a labelled 1,000-posting benchmark with (skill, role, seniority) spans. Fine-tune a small token classifier (e.g., DeBERTa-v3-base)…
- Information Extraction
- Token Classification
- Esco Taxonomy
Linguistic Engineering and Language Technologies - CodeBeginnerNew
Ship a Churn-Prediction Mini-Project End to End
You receive a 12-month anonymized dataset of subscriber events (logins, lesson completions, payment history, support tickets) for around 200,000 users. Define churn precisely (n…
- Feature Engineering
- Model Evaluation
- Gradient Boosting
AI/ML Practicum and Hands-on Lab - CodeIntermediateNew
Few-Shot Defect Classifier for a Fast-Onboarding Industrial AI Vendor
You receive a multi-customer defect dataset (8 historical customers, 4-6 defect classes each). Treat 6 customers as the meta-training set and 2 as the held-out 'new customer' sc…
- Meta Learning
- Few Shot Learning
- Prototypical Networks
Meta-Learning, Transfer Learning, and Multi-Task Learning - CodeSeniorNew
Triage Brain-CT Stroke Detector with Calibrated Uncertainty
You receive a curated public head-CT dataset (about 2,800 scans, slice-level labels for hemorrhagic stroke) and a held-out 600-scan hospital cohort. Train a 3D CNN or 2.5D slice…
- Medical Imaging
- Neural Networks
- Uncertainty Quantification
Machine Learning for Imaging and Medical Image Analysis - CodeSeniorNew
Auditing a DeFi Lending Protocol for Vulnerabilities
You are provided with the Solidity source code for LendFlow's core lending pool contract and a simplified oracle contract. Your task is to conduct a manual security audit, focus…
- Solidity
- Smart Contract Auditing
- Decentralized Finance
Blockchain and Digital Assets - CodeSeniorNew
Implement a Bootloader with Secure OTA for a Medical Wearable
Implement using MCUboot as the secondary-image bootloader. Set up an offline signing pipeline (Ed25519 keys, HSM-backed for production). Implement the OTA client: BLE file trans…
- Mcuboot
- Secure Bootloader
- Firmware Signing
Embedded Systems Engineering - CodeIntermediateNew
Out-of-Order Execution Microbenchmark Suite
Design and implement 6 microbenchmarks: ROB capacity probe (varying chain length), load-store queue probe, branch mispredict cost probe, ILP saturation probe, store-to-load forw…
- Out Of Order Execution
- Performance Counters
- Benchmarking
Advanced Computer Architecture - CodeIntermediateNew
Train a Differentially Private Classifier on Medical Records
Use Opacus (PyTorch DP-SGD library). Train a tabular classifier (small MLP + gradient-boosted features) with DP-SGD at the agreed epsilon/delta. Run an accuracy-vs-privacy front…
- Differential Privacy
- Dp Sgd
- Opacus
Privacy-Preserving Machine Learning - CodeIntermediateNew
Deploy SDN-Based Network Slicing for a Telco Operator
Receive the current transport architecture (P4-programmable switches, ONOS controller cluster), the 3 customer-class SLAs (consumer: best-effort 50 Mbps; enterprise IoT: 5 Mbps …
- Sdn
- Onos
- Mininet
Advanced Computer Networks - CodeSeniorNew
Plan Under Uncertainty for a Warehouse Restocking Robot
You receive a discrete-event simulator of a 1,200-shelf warehouse with calibrated optical-scanning error rates and stock-out cost per shelf. Formulate the restocking decision as…
- Planning Under Uncertainty
- Pomdp
- Monte Carlo Planning
Advanced Robotics
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Browse challenges aligned to your studies.
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Accept the one that fits your goals.
Step 03
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