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- Enterprise-Grade Career Analytics Platform
Intervia
Intervia – University Interview Readiness Dashboard
Ongoing
- Dashboard
- Tracking
- Search
Project Overview
About Intervia
Intervia is a web-based analytics platform designed for university career centres to monitor, analyze, and improve student interview readiness. The platform centralizes interview practice data, readiness scores, and engagement metrics into a single, actionable dashboard.
Built as a modern data-driven system, Intervia enables career centre directors and advisors to track student performance, identify skill gaps, and take proactive steps to improve employability outcomes.
Key Capabilities
The platform focuses on transforming fragmented student data into meaningful insights using analytics, trends, and AI-driven predictions.
Centralized dashboard for student readiness and engagement
KPI tracking (active students, interviews, readiness score, completion rate)
Readiness tier classification (5-level system)
Student-level analytics and profile tracking
Interview type and skills analysis
AI-based forecasting and at-risk prediction
Advanced filtering and segmentation tools
Secure admin access and session management
Platform Screenshots
See Intervia Action
Built With Modern Tech
Frontend
- Modern JavaScript framework (SPA architecture)
- Reusable UI components (charts, tables, filters, KPI cards)
- State management and authentication context
Backend
- RESTful APIs for students, interviews, scores, and analytics
- Services for KPI computation and trend aggregation
- Integration with AI/ML services for predictions
Database & Analytics
- Centralized database for students, interviews, and scores
- Optimized queries and aggregations for dashboard performance
- Data models for readiness tiers and skill mapping
Hosting & Security
- Cloud-hosted infrastructure with HTTPS
- Secure session management and authentication
- Role-based access control for admin users
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Problem Statement
The Challenges We Solved
Universities often struggle to effectively track and improve student interview readiness due to fragmented systems, lack of analytics, and limited visibility into student performance.
Analytics & Visibility
Business Challenges
Career centres faced multiple operational challenges that impacted decision-making and student outcomes:
- Student data scattered across spreadsheets, tools, and disconnected systems
- No centralized view of interview readiness and engagement
- Difficulty identifying at-risk students or low performers
- Limited visibility into skill gaps and interview performance trends
- Advisors spending excessive time on manual data analysis instead of coaching
- Lack of actionable insights for improving student outcomes
Data & Platform Engineering
Technical Challenges
From a technical perspective, several complex system-level challenges needed to be addressed:
- Aggregating and normalizing data from multiple sources into a single platform
- Designing scalable dashboards capable of handling large student datasets
- Maintaining fast performance for real-time analytics and filtering
- Building flexible filtering (program, cohort, readiness, advisor) without performance issues
- Ensuring secure handling of sensitive student data and access control
Solution & Approach
How We Built It
Intervia was designed as a scalable, data-driven analytics platform with a modular architecture, enabling universities to track student readiness, analyze performance, and generate AI-powered insights from a centralized system.
Centralized Analytics Dashboard
A unified dashboard was built to provide complete visibility into student readiness and engagement across programs.
- KPI Tracking
- Readiness Distribution
- STAR Analysis
- Interview Insights
- STEP 01
Student Management Workspace
A dedicated student module was developed to help advisors quickly find, filter, and analyze individual student performance.
- Student Listing
- Smart Search
- Advanced Filters
- Profile View
- STEP 02
Trends & Performance Analytics
Advanced analytics were implemented to track performance over time and measure engagement patterns.
- Activity Trends
- Readiness Progression
- Program Comparison
- Practice Analysis
- STEP 03
AI Insights & Predictions
AI capabilities were integrated to move from descriptive analytics to predictive and actionable insights.
- Readiness Forecasting
- At-Risk Prediction
- AI Recommendations
- Impact Insights
- STEP 04
Secure Access & Data Protection
A secure authentication and session management system was implemented to protect sensitive student data.
- Admin Authentication
- Session Management
- Password Reset
- Data Security
- STEP 05
Key Challenges & Resolutions90
Challenges We Conquered
Every major challenge in building Intervia was addressed with scalable, data-driven solutions to ensure performance, usability, and reliability.
Fragmented Student Data
Solution
Built a centralized data system that aggregates interview data, readiness scores, and engagement metrics into a unified dashboard.
Result
Enabled a single source of truth for career centres with complete visibility into student readiness and performance.
Complex Data Visualization
Solution
Designed structured dashboards with intuitive charts (KPI cards, bar, line, heatmaps) and clear data grouping.
Result
Improved data understanding for non-technical users and faster decision-making for advisors and directors.
Student Search & Filtering Performance
Solution
Implemented optimized APIs, indexed queries, and dynamic filtering for program, cohort, and readiness tiers.
Result
Instant student search and filtering with smooth performance even on large datasets.
Secure Access to Sensitive Data
Solution
Developed a secure authentication system with session handling, validation, and controlled access.
Result
Ensured safe handling of student data with reliable access control for authorized users only.
AI Prediction Trust & Accuracy
Solution
Integrated AI models with confidence scores, explainability, and transparent output presentation.
- Result Achieved
Significant improvement in dashboard load speed and analytics performance.
~65%
Reduction in data processing and query response time
Feedback
Our Clients’ Success Stories
Check What’s Our Client Say About Us
The project went well, the team was professional and got up to speed quickly on the work and performed effectively. They help us get the project back on track and now we are in a good position. I will definitely use them in the future for subsequent tasks as they arise. I recommend them and look forward to working with them again in the future!
Jonathan
I approached Sunil to assist me with a specific part of a project. His quick understanding of the project and clear technical skill and proficiency resulted in his involvement growing into a lead role. Will definitely be working with again in the future.
Adam
Rajvjay and his team delivered exactly what they promised on time and within budget. They handled every requirement with great care, and I have to say, they're true masters of process. I actually learned a lot about Agile practices and tools like Jira and Trello from them. I'd highly recommend this team to anyone who values a structured, process-driven approach for smooth and efficient project delivery.
Shivangi
Working with Arun has been a great experience! The team is very knowledgeable and has provided several design and product enhancement ideas along the way. I highly recommend!
Gil Comeaux
Adam
Mitesh Shetty
My second engagement with the WebAtlas team was just as great as the first. I handed off a very large codebase to them to take over from a previous developer, which was in a broken state, and they were able to effectively piece it back together, get it running again, and add new capabilities. I highly recommend the team, they are professional and easy to work with. They were flexible and responsive.
Jonathan Torkelson
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