Code Challenges
Build a working backend, frontend, integration, or data pipeline against a real-shaped spec.
- CodeIntermediateNew
Quantize a CNN for Battery-Powered Wildlife Cameras at a Climate Nonprofit
You receive an FP32 CNN (MobileNetV2 fine-tuned to 22 species, around 13 MB) and a hold-out test set of 4,000 images. Quantize to int8 (post-training quantization first, then qu…
- Quantization
- Qat
- Edge Deployment
Deep Learning - CodeBeginnerNew
Build a Plugin-Based Notification Framework With Observer + Factory
Implement, in Java 21: an EventBus that supports typed subscriptions, a NotificationChannel interface with concrete subtypes (Push, Email, InApp, SMS), an AbstractChannelFactory…
- Python Or Javascript
- Design Patterns
- Oo Design
Object-Oriented Programming and Design - CodeIntermediateNew
Mesh Simplification Pipeline for a 3D-Scan-to-Web Tool
Implement quadric-error-metric (QEM) mesh simplification with UV-attribute preservation: per-vertex 4x4 error quadrics that include a position term and a UV-distortion term, edg…
- Geometry Processing
- Mesh Simplification
- 3d Rendering
Advanced Computer Graphics - CodeIntermediateNew
Train a Multimodal Classifier for Medical Triage
Pick a fusion architecture (early fusion via cross-attention, late fusion via score combination, or a unified multimodal encoder like FLAVA/CoCa). Train on the 14,000 pairs with…
- Multimodal Fusion
- Cross Attention
- Pytorch Or Tensorflow
Multimodal Machine Learning Develop in-demand professional skills.
Each challenge names the skills it strengthens. Over time, your profile fills with the competences a hiring manager would actually look for.
Why Ewance
- CodeIntermediateNew
Designing a Dynamic Pricing Engine for a Ride-Hailing Startup
Your team is given a dataset of historical rides (timestamp, pickup location zone, demand level, available drivers). You must design a pricing algorithm that: (1) uses a multipl…
- Python Or Javascript
- Pandas
- Simulation
Programming for Business Applications - CodeBeginnerNew
Build a Video-Question-Answering Demo on a Budget
Pick the model (Video-LLaVA, VideoChat2, or LLaVA-Video) and justify on the A10G budget. Build a Streamlit demo: upload video, ask question, get answer with cited frame timestam…
- Video Language Models
- Multimodal Fusion
- Streamlit
Multimodal Machine Learning - CodeIntermediateNew
Reconstruct a Heritage Facade with Structure-from-Motion
You receive 250 phone photos of the facade plus 6 ground control points measured by a surveyor (used only for metric scaling and validation, not for reconstruction). Run SfM to …
- Structure From Motion
- Multi View Stereo
- 3d Reconstruction
3D Vision and Multi-View Geometry - CodeBeginnerNew
Build a Multilingual Text-Mining Dashboard for Hotel Reviews
You receive 200,000 sampled reviews across 9 languages plus an English-only labeled benchmark of 1,000 reviews for sentiment and aspect (rooms, food, staff, value, location). Bu…
- Multilingual NLP
- Sentiment Analysis
- Aspect Extraction
Linguistic Engineering and Language Technologies - Browse challenges
Explore role
Strategy Analyst
Frame the business question, model the options, build the recommendation. From market sizing to competitive analysis, this role is where strategy consulting meets in-house decision-making.
- CodeIntermediateNew
Build a BM25 + Embeddings Hybrid Search for a Legal-Tech Document Portal
Stand up an OpenSearch cluster with BM25 indexing on the 2.4M-document corpus. Generate dense embeddings (you choose the model; justify cost and quality trade-offs) and index th…
- Information Retrieval
- Bm25
- Vector Database Basics
Data Mining and Information Retrieval - CodeFoundationalNew
Build a Best-First Search Solver for a Delivery Startup's Test Lab
Build a Python module exposing uniform-cost search and A-star search on a 2D grid with weighted cells (open road, traffic, no-go). Implement two admissible heuristics for A-star…
- Search Algorithms
- Heuristic Design
- Python Or Javascript
Introduction to Artificial Intelligence - CodeSeniorNew
Heterogeneous Scheduling Policy for a Big.LITTLE Mobile SoC
Read the existing scheduler's energy model (provided). Design an improved policy using one or more of: per-task IPC-aware placement, exponential moving average load smoothing to…
- Multicore Architecture
- Scheduling
- Energy Modeling
Advanced Computer Architecture - CodeBeginnerNew
Predictive Churn Model for Bangalore D2C Cosmetics
You will analyze a provided dataset of 10k customers with features like purchase frequency, average order value, time since last purchase, pages visited, support tickets, and su…
- Python Or Javascript
- Scikit Learn
- Logistic Regression
Machine Learning and AI for Business Get recognized by recruiters and employers.
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Why Ewance
- CodeSeniorNew
Abstract-Interpretation-Based Configuration Validator for a SaaS Platform
Define an abstract domain capturing relations between configuration fields (e.g. 'if billing.plan = enterprise then features.audit_log = true'). Implement an abstract-interpreta…
- Abstract Interpretation
- Static Analysis
- Rust Programming
Program Analysis - CodeIntermediateNew
Multi-Turn Dialogue Manager for a Banking Assistant
You receive a transcript dataset of 200 conversations (human-tagged with intent, slot values, and required outcome), a list of 8 supported intents, and tool stubs for 3 backend …
- Dialogue Management
- Intent Classification
- Slot Filling
Question Answering and Conversational Systems - CodeBeginnerNew
Build a DSL for Insurance-Policy Rules in OCaml
Design a small DSL covering: variables (insured amount, premium, deductible, named perils), expressions (arithmetic, conditionals, lookups against external tables like CRESTA zo…
- Ocaml
- Domain Specific Languages
- Parser Combinators
Functional Programming - CodeIntermediateNew
Simulating Queueing for a 40-Person SaaS Support Team
Build a discrete-event simulation of the ticket handling process: tickets arrive randomly (Poisson), are triaged, then assigned to specialists (tier 1 and tier 2). Calibrate usi…
- Simulation
- Queueing Theory
- Python Or Javascript
Operations Analytics and Optimization - 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 - CodeIntermediateNew
Gaussian Process Regression for Wind Farm Power Curves
You receive 12 months of 10-minute SCADA data (wind speed, air temperature, power output) for 30 representative turbines, plus the manufacturer's published curve. Fit a GP with …
- Gaussian Processes
- Kernel Methods
- Uncertainty Quantification
Probabilistic Machine Learning - CodeIntermediateNew
Build a Dataflow-Based Dead-Code Detector for a Python Monorepo
Build a Python tool using libcst (or ast + jedi) that constructs a call graph across the monorepo. Account for indirect references (entry points in setup.py / pyproject.toml, dy…
- Dataflow Analysis
- Ast
- Call Graph
Program Analysis - 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
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
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