SkillChain – AI-Powered Micro-Certification System

SkillChain uses AI to analyze real-time video responses and instantly certify user skills. It helps learners prove abilities, and recruiters verify talent quickly

Comment

In today’s world, degrees often matter more than real skills. Many talented learners—especially beginners—struggle to prove what they can actually do. Recruiters also face difficulty verifying whether a candidate truly possesses the skills they claim. This inspired us to build SkillChain, an AI-powered micro-certification system that validates skills using real-time video analysis.

What It Does

SkillChain allows users to record a short video while answering skill-based questions. The AI evaluates:

Communication clarity

Understanding of the topic

Confidence and delivery

Facial cues and engagement

Content accuracy

Based on the analysis, the system generates a micro-certificate that users can share anywhere. Recruiters get a separate dashboard to review candidates and verify certificates instantly How We Built It

Base44: Used to create the entire frontend, backend logic, user flows, and recruiter interface.

AI Models: Power real-time evaluation using speech analysis, sentiment detection, topic understanding, and facial engagement tracking.

Database: Stores user profiles, recruiter data, certificates, and skill categories.

UI/UX: Designed with a clean, futuristic look featuring neuron-based animations during the assessment process.

Challenges We Ran Into

Handling video input smoothly inside the browser workflow.

Ensuring AI analysis remains fast and accurate.

Creating a fair scoring system for diverse users.

Building separate views for users, recruiters, and admins within a no-code platform.

Maintaining a lightweight and reliable system within hackathon time limits.

Accomplishments We’re Proud Of

Built a complete working prototype from scratch.

Accurate real-time AI skill evaluation.

Smooth and intuitive UI for both users and recruiters.

Fully functional certification workflow.

What We Learned

Connecting AI capabilities with no-code tools effectively.

Designing efficient video analysis pipelines.

Creating fair and bias-reduced evaluation systems.

Delivering clean UI/UX under strict deadlines.

What’s Next

Multi-language skill assessments.

More diverse skill categories and improved AI scoring.

Blockchain-based authenticity verification.

A mobile app version for wider accessibility.

Built With

  • base44
  • face-&-sentiment-analysis-models
  • firebase/firestore-(for-database)
  • google-cloud-vision
  • html/css
  • javascript
  • no-code-automation
  • openai-apis
  • rest
  • speech-to-text
Share this project:

Updates