AI Agent Development Projects in Delhi
AI Agent Development Projects in Delhi
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AKASH VASHISHTHA
pro
AI Platform Stabilization and Enhancement for Kaie
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106
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Aparna Soneja
AI Agent that transforms Trello sprint data into a report
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6
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Sahil Roy
pro
AETHER: AI-Generated Luxury Brand Identity Project
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17
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Jagwinder Singh
AI Agent Tutor Mobile App An AI personal tutor mobile application designed for learners of all ages, from students to professionals. The app provides personalized guidance, explanations, skill development, and interactive learning across multiple subjects and topics. Key Features: > AI tutor conversations for learning any topic > Personalized learning paths based on user goals and skill level > Support for academics, professional skills, coding, languages, and general knowledge > AI explanations, summaries, and concept breakdowns > Practice exercises, quizzes, and knowledge improvement tools > Voice and text-based learning interactions > Learning history and progress tracking > Adaptive AI responses based on user behavior Key Contributions: -- Developed a cross-platform mobile learning experience -- Integrated AI/LLM technology for real-time tutoring interactions -- Implemented secure authentication and data management -- Optimized performance and user experience across devices Outcome: Created an AI learning companion that enables users of all ages to learn, improve skills, and access personalized education anytime through a mobile-first experience.
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46
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Ajay Bidyarthy- AI Full Stack Developer
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.
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123
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Rahul Rawal
Natural Language Workflow Editing Title: "Editing AI Workflows Using Chat" Description: "Demo of RAPR AI's chat-based workflow editor โ modifying a live workflow and adding nodes through natural language. No manual config, just conversation.
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62
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Chirag Sharma
AI Real Estate Concierge: Closing the Speed-to-Lead Gap
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67
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Sparsh Rajput
Built an autonomous AI sales prospecting system that researches companies, identifies decision-makers, extracts lead information from the web, and generates personalized cold outreach emails using AI. The platform automates hours of manual prospecting work into a single workflow.
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74
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shivankar patra
Relationship Advisor: AI-Powered Guidance
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2
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4
AKASH VASHISHTHA
pro
LLM Operator | Watch your AI browse Internet
4
126
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Aparna Soneja
AI agent for project planning, estimation & resourcing
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12
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Jagwinder Singh
AI Resume Screening | Candidate Ranking System | AI HR Recruiter | ATS CV/Resume Optimization ๐ข๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ 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. ๐๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ 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. ๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป I built an intelligent recruitment platform that leverages Artificial Intelligence and Natural Language Processing (NLP) to automate resume analysis and candidate assessment. ๐๐ฒ๐ ๐ณ๐ฒ๐ฎ๐๐๐ฟ๐ฒ๐ ๐ถ๐ป๐ฐ๐น๐๐ฑ๐ฒ: - 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 ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐ ๐ฃ๐ฟ๐ผ๐ฐ๐ฒ๐๐ 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. ๐ฅ๐ฒ๐๐๐น๐๐ The solution significantly improved recruitment efficiency and candidate discovery. ๐ข๐๐๐ฐ๐ผ๐บ๐ฒ๐ > 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 ๐๐ผ๐ป๐ฐ๐น๐๐๐ถ๐ผ๐ป 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.
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Ajay Bidyarthy- AI Full Stack Developer
Ajay Bidyarthy is the Founder and Chief Executive Officer of Blackcoffer and an AI Engineer with expertise in developing intelligent, scalable solutions using Machine Learning, Generative AI, and advanced chatbot systems. He designs and builds AI-powered applicationsโranging from conversational agents to data-driven automationโby leveraging modern frameworks and cutting-edge technologies.
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373
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Jagwinder Singh
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.
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Jagwinder Singh
AI Customer Service Automation Platform An intelligent AI-driven customer support platform that automates and streamlines customer service across multiple channels. It helps businesses deliver faster, smarter, and more consistent support by combining AI chatbots, ticket automation, and omnichannel communication in one unified system. The platform uses NLP and machine learning to understand customer queries, provide instant responses, and intelligently route complex issues to human agents. It reduces workload, improves response times, and enhances customer satisfaction. Key Features: - AI Chatbot for 24/7 instant customer support - Omnichannel support (chat, email, social media, WhatsApp) - Smart ticketing with auto-categorization and routing - AI agent assist with reply suggestions and insights - Workflow automation for repetitive tasks - Sentiment analysis for priority handling - Self-service knowledge base integration - Multilingual support for global users - Real-time analytics and performance dashboards - Easy integrations with CRM and third-party tools This platform enables businesses to scale customer service efficiently while reducing costs and improving overall customer experience through automation and AI intelligence.
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