About Expelexia – AI Lab Notebook Assistant
Expelexia is an AI-powered lab notebook assistant designed to help researchers reason through experiments safely. It analyzes experiment protocols, CSV measurements, and optional images, then suggests safe next steps with clear explanations.
Innovation Challenge March 2026 · Start Date: March 16, 2026 · End Date: March 27, 2026
Step 1
Ingest lab inputs: protocols, CSV measurements, notes, and optional images
Step 2
Run AI-assisted analysis with safety checks and confidence-aware recommendations
Step 3
Generate explainable outputs: text insights, chart-ready payloads, and report narratives
Step 4
Visualize decisions in the built-in web dashboard and export a professional research report
Azure Architecture at a Glance
Inputs
CSV files, lab notes, images, IoT feeds
API Layer
FastAPI endpoints for upload, analysis, dashboard, and reporting
Storage
Local data folders plus Azure Blob Storage sync
AI Layer
Azure OpenAI with Azure Cognitive Services checks
Consumption
Web dashboard charts and downloadable PDF reports
Dashboard Role
The web dashboard transforms model output into team-facing evidence views. It visualizes experiment progression, highlights anomalies, and tracks confidence over time so reviewers can validate each AI suggestion before taking action.
Expelexia uses this layer to keep AI recommendations explainable, measurable, and presentation-ready without external BI tools.
Challenge Reference
Microsoft and Women in Cloud invite you to participate in an exclusive AI Innovation Challenge.
Open Hackathon Project LinkMicrosoft Innovation Challenge Details
This About section intentionally keeps all challenge context, company-style positioning, and related visual assets in one place for judges and reviewers.
Challenge Window
March 16–27, 2026
Judging Model
Performance 25% · Innovation 25% · Breadth of Azure Services 25% · Responsible AI 25%
Prize Structure
Top prize $10,000 · Two second-place prizes $5,000 · Three third-place prizes $2,500
Product Position
Company-style AI Lab Notebook Assistant for safe experiment reasoning and decision support
Key Dates & Qualification
- • Applications open: Feb 25
- • Application deadline: Mar 12
- • Hackathon invites begin: Mar 16
- • Challenge period: Mar 16–27
- • Winners announced: Apr 3
- • Qualification: Applied Skills or Azure certifications (AI Engineer Associate, Azure Engineer Associate, Azure Data Science Associate)
Our Team: NeuraForge
Our team, NeuraForge, brings together highly skilled and diverse professionals with a strong background in AI, cloud computing, full-stack development, and data analytics. Each member has hands-on experience from internships, research, and projects in both academic and professional settings. Our combined technical proficiency, logical problem-solving, and collaborative mindset make us capable of solving complex AI challenges effectively. We are committed to delivering innovative solutions during the challenge.
Built as a clean, modern, company-style AI product narrative with strong motion design, researcher-centered workflows, and trust-focused reporting.
Team Members
Henok Tariku
Junior Data Analyst & Software Engineer
Financial Engineering Master's student at WorldQuant University. Strong Computer Science background. Focused on practical software engineering, API integrations, and reliable production rollouts.
- WorldQuant University (Financial Engineering, Feb 2026 - Present)
- MIPT (Computer Science, Nov 2025 - Present)
- University of the People (Computer Science, Dec 2023 - Jan 2026, CGPA 3.95)
Rocio Herrera
Cybersecurity & AI Enthusiast
Skilled in Cybersecurity, Artificial Intelligence, Problem Solving, Data Analysis, Risk Assessment, Network Security (basic), Microsoft Excel, Communication, Operations Management, Safety & Compliance. Bilingual (English/Spanish).