Freelancers using WooCommerce in GurugramFreelancers using WooCommerce in Gurugram
CRO Services For WordPress & WooCommerce Stores
$10k+
Earned
3x
Hired
5.0
Rating
44
Followers
CRO Services For WordPress & WooCommerce Stores
25+ Sites Crafted — Partner for E-Commerce, SaaS & Agencies
$10k+
Earned
5x
Hired
5.0
Rating
33
Followers
25+ Sites Crafted — Partner for E-Commerce, SaaS & Agencies
Build production-ready AI applications with Machine Learning
12
Followers
Build production-ready AI applications with Machine Learning
Full Stack Developer
7
Followers
Full Stack Developer
Cover image for AI Resume Screening | Candidate
AI Resume Screening | Candidate Ranking System | AI HR Recruiter | ATS CV/Resume Optimization 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 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. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 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. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 I built an intelligent recruitment platform that leverages Artificial Intelligence and Natural Language Processing (NLP) to automate resume analysis and candidate assessment. 𝗞𝗲𝘆 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: - 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 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 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. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 The solution significantly improved recruitment efficiency and candidate discovery. 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 > 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 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 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.
1
114
Full-Stack Developer & UI/UX Designer | React, PHP
New to Contra
Full-Stack Developer & UI/UX Designer | React, PHP
Cover image for AI Viral Story & Cinematic
AI Viral Story & Cinematic Shorts Factory AI Viral Story & Cinematic Shorts Factory is a futuristic AI-powered storytelling workflow built entirely inside Melius. The project explores how AI can transform a single emotional idea into a complete viral-ready cinematic production pipeline for platforms like YouTube Shorts, TikTok, Instagram Reels, and Pinterest Video Pins. Using interconnected AI agents and advanced visual workflow nodes, the system handles: Trend research and viral analysis Emotional story generation Cinematic scene breakdowns AI image prompting AI animation direction Camera movement planning Voiceover scripting Music and sound design Thumbnail optimization Captions and hashtag generation Engagement prediction Multi-platform export workflows For the core demonstration, I created a 6-scene emotional rescue story following an abandoned puppy in the rain. The workflow visually demonstrates how a raw emotional concept evolves into a fully cinematic short-form narrative through interconnected AI systems. The project was designed to feel like a next-generation AI filmmaking operating system — combining storytelling psychology, prompt engineering, cinematography logic, emotional optimization, and creator workflow automation into one connected visual canvas. My goal was to explore the future of AI-native filmmaking and demonstrate how creators can generate production-ready emotional content in minutes instead of weeks. Process: Researched emotional viral storytelling formats Designed a multi-agent cinematic workflow architecture Built interconnected AI production nodes inside Melius Generated a full 6-scene cinematic narrative Created image and animation prompt systems Added voiceover, music, and sound design logic Built thumbnail, caption, and engagement optimization systems Produced a cinematic walkthrough showcasing the workflow Feedback on Melius: Using Melius felt like directing an AI-powered creative studio visually instead of switching between disconnected tools. The node-based workflow made it easier to structure cinematic storytelling pipelines, iterate on ideas, and connect production systems together in a much more intuitive way. LinkedIn Post: https://www.linkedin.com/posts/buildwithlalit_meliuschallenge-ugcPost-7462439292988968960-xnV2
2
87
Web Developer & Designer | Website Developer
Web Developer & Designer | Website Developer
WordPress developer | Mobile & desktop design + social media
6
Followers
WordPress developer | Mobile & desktop design + social media