AI Agent Development Projects in GhaziabadAI Agent Development Projects in GhaziabadAI Resume Screening | Candidate Ranking System | AI HR Recruiter | ATS CV/Resume Optimization
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Recruiters often spend hours manually reviewing resumes, comparing candidate qualifications, and identifying the best fit for open positions. To address this challenge, I developed an AI-powered Resume Screening and Candidate Ranking Platform that automates candidate evaluation, improves hiring efficiency, and reduces recruitment time.
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Traditional recruitment processes involve reviewing hundreds of resumes for a single position. This manual approach is time-consuming, inconsistent, and often results in qualified candidates being overlooked. Recruiters needed a solution capable of quickly analyzing resumes, matching them against job requirements, and generating reliable candidate rankings.
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I built an intelligent recruitment platform that leverages Artificial Intelligence and Natural Language Processing (NLP) to automate resume analysis and candidate assessment.
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- ATS-compatible resume parsing for PDF and DOCX files
- Automated extraction of skills, experience, education, certifications, and contact information
- AI candidate matching based on job descriptions
- Intelligent candidate scoring and ranking system
- Semantic skill matching using NLP techniques
- Automated shortlist generation for recruiters
- Recruiter dashboard for managing applications and rankings
- Bulk resume processing for high-volume recruitment
- Interview recommendation system based on candidate fit
- Fair and consistent evaluation framework to reduce manual bias
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The platform was designed with scalability and accuracy in mind. The workflow begins by parsing uploaded resumes and extracting structured candidate data. AI models then compare candidate profiles against job requirements, analyzing technical skills, years of experience, educational background, and industry relevance.
A ranking engine generates compatibility scores and presents candidates in order of suitability. Recruiters can review detailed scoring insights, compare applicants, and make faster hiring decisions.
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The solution significantly improved recruitment efficiency and candidate discovery.
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> Reduced manual resume screening time by up to 80%
> Accelerated candidate shortlisting process
> Improved recruiter productivity and hiring speed
> Increased consistency in candidate evaluation
> Enabled processing of hundreds of resumes within minutes
> Enhanced talent identification through AI-driven matching
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This AI recruitment platform transforms traditional hiring workflows by automating resume screening, ranking candidates intelligently, and helping recruiters identify top talent faster, more accurately, and at scale. I offer AI, data science, analytics, software development, cloud computing, cybersecurity, and digital transformation services for startups and enterprises.
My expertise includes machine learning, generative AI, big data analytics, business intelligence, web and mobile app development, IoT solutions, and enterprise automation.
I also provide consulting, staffing, and industry-specific solutions for healthcare, finance, retail, insurance, energy, and supply chain businesses. โ๏ธ AI Aviation Platform
Developed an AI aviation mobile platform that unifies real-time flight tracking, predictive analytics, and flight booking into a single ecosystem. The goal was to streamline air travel management by improving accuracy, speed, and decision-making across the entire journey.
Problem Statement
Users today rely on multiple disconnected tools: one app for flight tracking, another for booking, and separate sources for delays, weather, and gate updates. This fragmentation leads to delayed or inconsistent flight information, inefficient planning, and a lack of intelligent guidance when booking flights.
Solution
Built a unified aviation platform that consolidates live flight tracking, AI-based predictions, and flight search/booking into one intelligent system. The platform serves as a real-time travel assistant, offering end-to-end visibility from booking to arrival.
Core Features
- Real-time global flight tracking with interactive map
- AI delay prediction using weather, route, and historical data
- Flight search with price comparison and smart recommendations
- Live alerts for delays, gate changes, cancellations, and price drops
- Airport insights including congestion levels and reliability scores
- Personalized dashboard with trip history and upcoming travel timeline
Challenges
Handled high-frequency real-time flight data efficiently, ensured consistency across multiple aviation providers, improved prediction accuracy despite incomplete datasets, and managed complex airline API integrations with varying reliability.
Key Learnings
Real-time systems require strong caching and streaming strategies. Combining weather, historical, and live data significantly improves prediction quality. UX clarity is essential when presenting dense aviation information. External API reliability directly impacts system stability.
