Edzer – AI-Powered Resume & Interview Preparation Platform
95%
Resume Optimization Accuracy
+60%
Interview Confidence Growth
+40%
Placement Success Rate
Industry
EdTech / Career Tech
Services
Web Development, AI/ML Integration, SaaS Development
Tech Stack
React.js, Node.js, Python (NLP / Speech Analysis), OpenAI API
Duration
5 months
What Needed to Change
Edzer identified a critical gap in the Indian student-to-employment pipeline — final year students and recent graduates were entering the job market with resumes built on generic templates that failed ATS (Applicant Tracking System) screening, were not optimized for specific roles or industries, and did not effectively communicate skills against JD requirements.
Interview preparation was limited to watching YouTube videos and practicing with peers — with no structured feedback mechanism, no simulation of actual interview scenarios, and no assessment of communication quality, answer depth, or body language signals. Campus placement cells lacked the resources to provide personalized coaching to every student, meaning preparation quality was highly unequal across the graduating batch.
How We Solved It
Brihat Infotech built Edzer as an AI-powered career readiness platform covering resume optimization and interview simulation. The AI Resume Engine analyzed uploaded resumes against user-provided target job descriptions — scoring alignment across skills, keywords, format, and language quality, and generating specific, actionable improvement recommendations. A Resume Builder with role-specific templates guided users through building ATS-optimized resumes with real-time score feedback as they typed. The Mock Interview Engine supported voice-based simulation sessions where users responded to AI-generated role-specific interview questions — covering HR rounds, technical rounds, and case-based scenarios. Real-time analysis evaluated answer relevance, keyword usage, communication pace, and filler word frequency, generating a detailed performance report with improvement priorities. A Skill Gap Analysis Module compared the user's current skill profile against requirements for their target roles and recommended specific learning resources to close gaps. A Career Dashboard tracked resume score progression, mock interview performance trends, and application activity over time.
What We Built
React.js integration and configuration
Node.js integration and configuration
Python (NLP / Speech Analysis) integration and configuration
OpenAI API integration and configuration
PostgreSQL integration and configuration
AWS integration and configuration
Speech-to-Text API integration and configuration
ATS Compatibility Engine integration and configuration
The Results
95%
Resume Optimization Accuracy
+60%
Interview Confidence Growth
+40%
Placement Success Rate
-80%
Feedback Time Reduction
Lessons We're Taking Forward
Understand before you build
The most expensive engineering mistakes happen when teams skip the problem-understanding phase. We invest heavily in discovery before writing code.
Boring technology ships faster
Proven stacks with strong community support reduce debugging time significantly compared to bleeding-edge choices that look impressive on paper.
Operational excellence is a feature
Logging, alerting, and runbooks are not afterthoughts. They're the difference between a 3-hour outage and a 3-minute fix.
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