Brief
Adaptive AI interview platform for soft-skills scoring (NDA).
Confidential client · Anonymized case study.
An AI-driven chatbot platform designed for recruitment companies to streamline soft skills assessment. The system simulates real-time interview scenarios with adaptive, context-aware questioning and evaluates candidates on attitude, communication, confidence, adaptability, and problem-solving.
Problem
Recruitment teams need scalable, consistent soft skills evaluation beyond traditional interviews. Manual assessment is subjective and time-consuming. The platform automates scenario-based interviews with NLP-driven analysis and structured scoring.
Features
Outcome
Interview completion rate
0
Assessment consistency improvement
0
Candidate throughput
0
Growth signal
Figures animate in as you scroll — pulled from this project's published results.
- Automated soft skills assessment for recruitment workflows
- Delivered adaptive, scenario-based AI interviews with consistent evaluation
- Enabled scalable candidate screening through AWS-native AI infrastructure
- Improved assessment consistency and reduced recruiter time per candidate
- Skills Summary (NDA Projects)
Challenges & solutions
- Static interview scripts → Multi-turn adaptive questioning with LangChain agents
- Subjective soft skills scoring → NLP sentiment and behaviour analysis pipeline with structured rubrics
- Model contextual understanding → Fine-tuned AWS Titan on domain-specific soft skills datasets
- Scalable LLM deployment → Amazon Bedrock integration for managed, secure inference
