Service
AI Development & Integration
Company
Career Guidance & Employment Training
Our client is a career development services provider offering career planning, personality development training, and employability development Services. They deliver an end-to-end solution that goes beyond career assessment to foster personality growth, leadership skills, and workplace readiness.
The client’s system used static recommendations and siloed processes that hampered personalization. Students received generic suggestions that didn’t adapt to their evolving goals, while experts and corporates struggled to identify the right matches. Without AI-driven insights or feedback loops, their platform couldn’t create meaningful, real-time connections across its ecosystem.
Static Recommendations
Generic job suggestions lacking alignment with student's evolving skills and goals.
Limited Employer Matchmaking
Recruiters had to sift through numerous profiles without smart shortlisting tools.
Disconnected Systems
Non- accessible Insights on student progress, job compatibility, or mentorship needs.
Lack of Feedback Loops
The system could not learn from user activity to refine future suggestions.
Integrated Continuous Learning Loops
Leveraged user behavior to refine recommendations and improve accuracy.
The Challenges
The client aimed to provide rapid, insightful guidance to students and institutes, but struggled to scale personalized recommendations or deliver data-driven insights in real-time.
Our Impactful Actions
Roxiler built and integrate a powerful AI/ML layer that redefined how users navigate career decisions. Using LLMs, embeddings, and a retrieval-augmented architecture, we brought real-time intelligence to every touchpoint without disrupting existing workflows.
Smart Matching Through Vector Embeddings
We built a recommendation engine to converts user and job profile data into semantic embeddings using transformer-based models.
Skill Gap Analysis Engine
Using NLP-based skill parsing, we identified what each student had and what they lacked for their desired roles.
Expert Recommendations with Purpose
We connected students to the right mentors and experts based on their career gaps.
Benefits Achieved Our Client
Our platform delivered real-time, personalized recommendations, smarter candidate matching, and deeper engagement for students, corporates, and experts. Its scalable AI foundation also supports future growth and feature expansion.
Personalized Career Navigation
Students receive job, expert, and skill recommendations tailored to their goals - updating in real time as they evolve.
Smarter Hiring Decisions
Corporates access the most relevant candidate pool without sifting through hundreds of profiles.
Empowered Experts & Institutes
Ideal expert-student matches add real value. Institutes gain insights into student progress and placement trends.
Scalable Intelligence
The modular AI stack allows added features like course recommendations or AI-driven mock interviews.
Technology Stack
The platform was built using LLMs, embedding systems, vector databases, Llama 3.2, and nomic-embed-text for advanced machine learning capabilities. Custom-trained AI models handled vulnerability classification, exploit mapping, and test planning. The backend used Flask, Nest.js, Python, and Redis, while the frontend was developed with Next.js. PostgreSQL served as the primary database. Deployment was managed using DigitalOcean Droplets, with Amazon S3 for storage and Amazon SES for email services.
What our Client Says
