StellarRec

Inspiration

The Problem: Students face a hidden hurdle in the university application process: recommendation fatigue. Professors and mentors are asked to upload the same letter to 20+ different schools—an exhausting, repetitive task that wastes hours and discourages students from even asking for help. This bottleneck results in missed opportunities, incomplete applications, and stalled academic dreams.

The Solution: StellarRec transforms the recommendation process. With one upload, recommenders can send a single letter to multiple universities in just a click. No more redundant submissions. No more fatigue. Professors save time, students feel empowered to ask for references, and more applications get completed on schedule.

The Impact: By removing one of the biggest barriers in college applications, StellarRec makes it easier for recommenders to say yes, helping more students succeed and dramatically improving completion and acceptance rates.

What it does

🌟 StellarRec currently enables recommenders to upload a single letter 📄 or record a video 🎥 and instantly send it to multiple universities 🎓 preselected by the student. The platform keeps things simple ✨—a streamlined model without unnecessary distractions or complex AI features.

How we built it

🏗️ We designed StellarRec with a modern, scalable architecture:

🎨 Frontend: Responsive HTML5, CSS3, and JavaScript, styled with Google Fonts and Material Icons. It features an animated star-themed design, interactive demos, and separate tailored experiences for students and recommenders.

⚙️ Backend: A microservices-based system with:

🤖 AI Service (Python) for matching and predictive analytics 👤 User Service for profiles 📝 Letter Service for recommendation management 📢 Notification Service for emails/SMS 📊 Analytics Service for insights and reporting 📄 Document Processing Service for uploads 🔍 Search Service with Elasticsearch ☁️ Infrastructure: Deployed on the cloud with Kubernetes, Docker, and full monitoring via Prometheus and Grafana. CI/CD pipelines, automated testing, and security compliance (GDPR/FERPA) are built in.

🗄️ Database: PostgreSQL with Prisma ORM, optimized with caching and read replicas.

🔗 Integrations: Webhooks and APIs connect directly with university systems for live updates and smooth data exchange.

Technical Stack Overview:

💻 Frontend Technologies:

🌐 HTML5, CSS3, JavaScript 🎭 Google Fonts & Material Icons ⭐ Star-themed animations 🎯 Tailored user experiences 🔧 Backend Services:

🐍 Python AI/ML services 🏢 Microservices architecture 📡 Real-time notifications 🔐 Security & compliance built-in 🚀 DevOps & Infrastructure:

🐳 Docker containerization ☸️ Kubernetes orchestration 📈 Prometheus monitoring 📊 Grafana dashboards 🔄 Automated CI/CD pipelines

Challenges we ran into

🚧 Key Development Challenges:

🏫 Integration with universities: Every institution uses different systems and formats, requiring flexible webhooks and APIs.

🔒 Data security: Protecting sensitive student data meant rigorous compliance with GDPR, FERPA, and robust authentication.

⚡ Performance: Real-time notifications, large file uploads, and scaling across services required continuous optimization.

👥 User experience: Designing a platform that feels natural for both students and recommenders demanded deep research and iteration.

Accomplishments that we're proud of

🎉 Key Achievements:

🚀 Built a fully functional end-to-end platform showcasing real AI-driven matching and recommendation assistance.

🏗️ Delivered a production-ready microservices architecture with monitoring, scalability, and DevOps best practices.

⚡ Created real-time university integrations, enabling instant status updates with admissions portals.

🤖 Developed advanced AI features: admission predictions, intelligent matching, and writing assistance.

🤝 Supported complex workflows like collaborative writing, multi-user communication, and secure file handling.

⭐ Crafted a responsive, stellar-themed design that feels polished across all devices.

What we learned

📚 Key Lessons Learned:

🔗 The importance of designing for integration early, making APIs adaptable to many university systems.

⚖️ How to balance automation and human judgment—AI works best when augmenting, not replacing, people.

🏗️ The demands of microservices: logging, monitoring, and health checks are non-negotiable for stability.

🔒 The depth of security and compliance in edtech, especially handling student records under FERPA and GDPR.

👥 Serving two distinct user groups requires user research and tailored yet cohesive experiences.

⚡ Performance optimization is an ongoing process across databases, APIs, and frontends.

What's next for StellarRec

🚀 Future Roadmap:

🤖 Expanding AI with essay analysis, improvement suggestions, and personalized guidance.

🏫 Partnering with more universities for deeper integrations and broader coverage.

📱 Launching mobile apps with push notifications for deadlines and updates.

📊 Building advanced analytics for students, recommenders, and institutions to track outcomes.

🔄 Using machine learning feedback loops to improve predictions based on real admissions data.

🌍 Expanding to international markets, adapting to different educational systems.

⛓️ Exploring blockchain for verifiable credentials and authentic recommendations.

🌟 Growing into a full ecosystem including scholarship matching, financial aid optimization, and post-admission support.

Built With

• ai
• analyticsservice
• apigateway
• apis
• cdn
• ci/cd
• contentdiscovery
• css3
• custommlmodels
• database
• datavisualization
• devops
• docker
• documentprocessing
• elasticsearch
• emailservices
• eslint
• express.js
• fastapi
• ferpa
• filestorage
• frontend
• gdpr
• git
• github
• githubactions
• grafana
• html5
• infrastructureascode
• javascript
• jest
• jwt
• kubernetes
• letterservice
• loadtesting
• machine-learning
• materialicons
• microservices
• monitoring
• netlify
• node.js
• notifications
• openapi
• performance
• postgresql
• prisma
• prometheus
• python
• ratelimiting
• redis
• restfulapis
• roboto
• robustsecurity
• searchservice
• security
• semanticmarkup
• serverless
• smsintegration
• swagger
• terraform
• textanalysis
• timelineservice
• typescript
• userservice
• vanillajs
• waf
• webhooksystems