Freelancers using FFmpeg in Delhi
Freelancers using FFmpeg in Delhi
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Jagwinder Singh
Delhi, India
Full Stack Developer
6
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Full Stack Developer
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Vision IPTV Player Android App Development
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AI Smart Call Assistance App Modern users struggle with spam calls, missed context, and inefficient call handling. We designed an AI-powered Smart Call Assistance experience inspired by intelligent call management systems like Hiya AI Phone, focusing on real-time call screening, transcription, and AI summaries to improve communication efficiency. Problem Statement (Users face): -- High volume of spam and unknown calls -- Lack of context during calls -- Difficulty remembering key points from conversations -- Inefficient call handling in professional workflows Solution: We designed a smart AI call assistant that helps users: > Identify and filter spam calls in real time > Generate automatic call transcripts > Provide AI-powered call summaries after every conversation > Highlight key action points and follow-ups Key Features 1. AI Call Screening: Detects spam and unknown callers instantly 2. Live Transcription: Converts speech to text during calls 3. Smart Summaries: Auto-generated call insights & decisions 4. Call Insights Dashboard: Stores past call history with searchable notes 5. Privacy-Focused Design: On-device processing and secure data handling UX focused Approach on: - Minimal interaction during calls (hands-free experience) - Clear visual hierarchy for call insights - Fast access to summaries post-call - Reducing cognitive load through automation Outcome: The concept demonstrates how AI can transform traditional calling into a productivity-first communication tool, reducing spam interference and improving decision-making speed.Or rewrite it in a more premium startup pitch tone
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AI Dating App AI-powered dating companion that helps users improve their dating profiles, generate personalized conversation starters, and craft engaging replies using AI. It acts like a virtual “dating wingman,” helping users get better matches and more meaningful conversations on dating apps. - AI matchmaking analyzes user interests, behavior, and preferences to suggest highly compatible matches. - Smart conversation starters and AI-generated prompts help users break the ice and improve engagement. - AI-based profile verification and moderation detect fake profiles, scams, and inappropriate content for safer dating. - Personalized recommendations adapt over time based on swipes, chats, and interaction patterns to improve match quality. - Sentiment and compatibility analysis provide insights into communication styles and relationship potential.
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✈️ 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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Naman Parashar
Delhi, India
Developer with a product mindset.
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Developer with a product mindset.
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Development of Pixio Video Editing Tool
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Ringg AI
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6
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DesiVocal
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3
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Care Cred
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FFmpeg
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Pranav
Delhi, India
Full-stack developer specializing in React, Node.js, and AI
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Full-stack developer specializing in React, Node.js, and AI
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Diffusion Steps – Custom Voice Text-to-Speech Model
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Flatmatey Platform Development
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doc.ai
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