Freelancers using Pivotal Tracker in DelhiFreelancers using Pivotal Tracker in Delhi✈️ 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. 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. Employee Productivity Monitoring System
Built a web-based Employee Productivity Monitoring System designed to help organizations track work activity, improve accountability, and gain insights into team performance in real time.
The system includes features such as activity tracking (keyboard/mouse usage metrics), application and website usage monitoring, task-wise time logging, and optional periodic screenshots for audit transparency. It provides role-based access for admins, managers, and employees with secure authentication and data segregation.
A real-time dashboard aggregates productivity metrics into visual reports, showing active vs idle time, productivity scores, and weekly performance trends. Managers can assign tasks, set productivity benchmarks, and export reports for HR or compliance use.
Focused on scalable backend architecture with efficient event logging, low-overhead tracking agents, and privacy-aware configuration controls to ensure compliance and minimal system impact. 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.
