Freelance AI Developers in DelhiFreelance AI Developers in Delhi
ProjectsPeople
AKASH VASHISHTHA's avatar
AKASH VASHISHTHA
proDelhi, India
Versatile Fullstack Engineer | Web & Mobile Expert
$50k+
Earned
5x
Hired
5.0
Rating
107
Followers
TOP_INDEPENDENT

Top

Versatile Fullstack Engineer | Web & Mobile Expert
Cover image for Bento Station | Restaurant Delivery Toolkit and Applications
Bento Station | Restaurant Delivery Toolkit and Applications
2
54
Cover image for LLM Operator | Watch your AI browse Internet
LLM Operator | Watch your AI browse Internet
4
119
Cover image for PriceRipper - Price Comparison Website
PriceRipper - Price Comparison Website
1
89
Cover image for Podly.ai - Podcast Transcription Platform
Podly.ai - Podcast Transcription Platform
2
173
AI Developer(4)
Satya Prakash's avatar
Satya Prakash
proNew Delhi, India
Mobile App Architect • React Native Expert • 50+ App Shipped
$1k+
Earned
1x
Hired
5.0
Rating
14
Followers
Mobile App Architect • React Native Expert • 50+ App Shipped
Cover image for Stellar Baby Mobile App
Stellar Baby Mobile App
1
2
Cover image for Dream Planner - AI-Powered Goal Planning Platform
Dream Planner - AI-Powered Goal Planning Platform
1
40
Cover image for Trippr - AI Itinerary Planner
Trippr - AI Itinerary Planner
1
7
Cover image for Kumbh Saathi – AI Pilgrimage Planner
Kumbh Saathi – AI Pilgrimage Planner
1
9
AI Developer(4)
Rishi Bajpai's avatar
Rishi Bajpai
Noida, India
Building MVPs for startup founders with clean UX in a week.
1x
Hired
5.0
Rating
59
Followers
Building MVPs for startup founders with clean UX in a week.
Cover image for IndiaPharmaHub - B2B Pharmaceutical Supplier Directory
IndiaPharmaHub - B2B Pharmaceutical Supplier Directory
1
5
Cover image for MVP Builders
MVP Builders
1
5
Cover image for Reqwest - Designing an Efficient API Testing Platform
Reqwest - Designing an Efficient API Testing Platform
3
3
Cover image for SpongebobLabs - AI Research Lab Website Development
SpongebobLabs - AI Research Lab Website Development
1
6
AI Developer(2)
Jagwinder Singh's avatar
Jagwinder Singh
Delhi, India
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
117
Cover image for Revolutionize Waste Management with IoT-Driven Smart Bins
Waste Management Platform A smart waste management system that uses IoT sensors to monitor bin levels in real time and make waste collection more efficient. It connects smart bins, collectors, and administrators on one platform so everyone stays updated. The system sends alerts when bins are full, helps plan better collection routes, and provides simple insights to improve overall waste handling and reduce manual effort.
0
46
Cover image for AI E-Wallet App Designed and developed
AI E-Wallet App Designed and developed a modern AI E-Wallet mobile app using a Glassmorphism design system to deliver a premium, transparent, and depth-rich financial experience. The app combines AI-driven intelligence with a clean, intuitive interface for seamless digital money management. Handled end-to-end product development as both designer and developer—from UX research, wireframing, and UI design to front-end implementation—ensuring consistency, usability, and smooth performance across all screens. Key Features: > AI-based spending insights & financial suggestions > Smart expense tracking & auto-categorization > Instant peer-to-peer payments > Digital wallet with multi-account management > Transaction history with visual analytics > Secure authentication (biometric + OTP) > Real-time notifications & alerts > Interactive dashboard with Glassmorphism UI cards The final product delivers a futuristic, user-friendly E-Wallet experience that blends aesthetic innovation with practical financial tools for modern users.
1
98
Cover image for AI Smart Call Assistance
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
2
1
92
AI Developer(18)
Trashu Vashisth's avatar
Trashu Vashisth
Delhi, India
Building Production-Grade AI Agents & RAG Systems
13
Followers
Building Production-Grade AI Agents & RAG Systems
Cover image for The Problem: Sales teams waste 60%
The Problem: Sales teams waste 60% of their time researching leads instead of closing them. The Solution: I built a custom Agentic AI Pipeline that automates deep-dive business intelligence and lead scoring. Key Technical Highlights: Multi-Agent Architecture: Built using CrewAI, featuring a 'Business Intelligence Specialist' (for real-time research) and a 'Senior Sales Director' (for strategic scoring). High-Speed Intelligence: Powered by Llama 3.3-70B  for near-instant reasoning and decision-making. Real-time Web Scoping: Integrated Tavily AI to fetch live revenue data, employee counts, and market positioning. Enterprise Storage: A robust SQLite backend to manage lead pipelines with a sleek Streamlit dashboard. Smart Throttling: Engineered custom rate-limiting and token-trimming logic to ensure 99.9% uptime even under heavy API constraints. How it works: Simply enter a company name and URL. The AI agents scour the web, analyze the company's "AI potential," calculate a priority score (0-100), and even write a personalized sales pitch—all in under 30 seconds.
0
63
Cover image for I built a professional, end-to-end
I built a professional, end-to-end AI Receptionist system designed to automate clinic appointment management. This isn't just a chatbot; it's an AI Agent that can reason, use tools, and manage a live database autonomously. Key Contributions: Agentic Reasoning: Integrated CrewAI with Llama 3.3 (Groq) to enable the agent to understand complex user intents (Booking vs. Cancellation) and relative time (e.g., "next Tuesday at 3pm"). Autonomous Tool Use: Developed custom Python tools that allow the agent to verify real-time availability in a SQLite database and execute atomic transactions without human intervention. High-Performance Backend: Built a robust API using FastAPI to handle asynchronous requests between the AI agent and the database. Premium Dashboard: Designed a modern, Glassmorphic UI using Tailwind CSS that provides a real-time sync of the clinic’s schedule. The Result: A seamless, hands-free system that reduces administrative overhead by 100%, allowing clinic staff to focus on patients while the AI handles the entire scheduling lifecycle. Tech Stack: Python, CrewAI, Groq API, FastAPI, SQLite, Tailwind CSS
0
75
Cover image for An autonomous AI system that
An autonomous AI system that turns a simple voice command into a deep-dive research report in seconds. No typing, no manual searching. Key Highlights: Voice Control: Uses Speech-to-Text for hands-free research triggers. Multi-Agent Intelligence: Powered by CrewAI & Llama 3.3 (Groq) to find, verify, and summarize live web data. Voice Synthesis: Delivers an instant audio summary via ElevenLabs. Automated Export: Generates a professional PDF report automatically. Tech Stack: CrewAI, Groq, ElevenLabs, Streamlit, DuckDuckGo API.
1
94
Cover image for Developed a highly responsive AI
Developed a highly responsive AI Voice Agent using Vapi that handles real-time conversations with exceptional clarity. The agent is designed to engage users naturally, gather specific information during the call, and accurately extract that data for further use. The voice quality for both the user and the bot is seamless, making the interaction feel professional and human-like
2
133
AI Developer(7)
Ritik Goyal's avatar
Ritik Goyal
Delhi, India
Python & Django developer for web apps and APIs
New to Contra
Python & Django developer for web apps and APIs
Cover image for Hit a classic Django trap
Hit a classic Django trap this week and figured it's worth sharing since so many people are running into it now. I was adding an LLM feature to a Django app. The AI call takes a few seconds, so naturally I made the view async so it doesn't block a worker while waiting. Wrote the async view, called the ORM like I always do, and boom: SynchronousOnlyOperation: You cannot call this from an async context. Turns out Django's ORM can't just be called normally inside async code. The classic sync API isn't safe in an event loop, so Django protects it and throws this error instead. The fix is simpler than most people think. Since Django 4.1 the ORM has async versions of everything, same names with an "a" prefix. So objects.get() becomes await objects.aget(), create() becomes acreate(), save() becomes asave(). For loops over querysets, async for works directly. And for old sync code or third party libraries you can't change, wrap them with sync_to_async(). Why this matters right now: everyone is bolting AI features onto Django apps, and LLM calls are exactly the slow I/O that async is made for. Which means a lot of devs who never touched async Django are suddenly hitting this error for the first time. One honest caveat: transactions still don't fully work in async mode, so if you need atomic blocks, keep that path sync and wrap it. Anyone else made the jump to async views yet, or still happily on WSGI?
0
58
Cover image for An AI-driven trading engine that
An AI-driven trading engine that analyzes 200-DMA breakouts and real-time market sentiment to generate long/short recommendations. It scans 1,500+ NSE stocks in under 2 seconds and uses generative AI to build option strategies, delivering event-driven trade signals end-to-end. I built the full Django backend, async APIs, and the signal-generation logic. Accomplishments and responsibilities: Built an AI-driven trading engine analyzing 200-DMA breakouts and market sentiment, generating long/short signals with ~70% directional accuracy — outperforming baseline strategies by 35%; Integrated generative-AI insights for automated option-strategy creation (spreads, straddles, condors), improving Sharpe ratio by 1.6× and cutting manual analysis time by 60%; Developed a Django backend with async APIs scanning 1,500+ NSE stocks in under 2 seconds, achieving 40% lower latency with event-driven alerts.
0
57
Cover image for An AI-powered news platform that
An AI-powered news platform that delivers concise, real-time AI-industry updates to 2,500+ active users. It scrapes and aggregates 500+ sources daily, removes duplicates, and uses generative-AI summarization to cut reading time significantly while surfacing the most relevant stories. I built the backend responsible for scraping, deduplication, and the LLM summarization pipeline.
0
58
Cover image for Built a Python-powered automated trading
Built a Python-powered automated trading tool that pulls live market data, runs technical analysis, and generates real-time trade signals. Features normalized comparison charts across multiple assets (Nifty, USD Index, Brent Crude, US 10Y Yield), a macro pressure table, correlation analysis, and a portfolio helper. Backend built in Python with automated data pipelines, live market feeds, and signal interpretation logic that flags bullish/bearish pressure. Clean, data-dense dashboard for fast decision-making. Tech: Python, Pandas, REST APIs, data automation, real-time charting.
1
83
AI Developer(4)
Aniket Panchal's avatar
Aniket Panchal
Delhi, India
AI & ML Solutions for Real-World Impact 🌐
AI & ML Solutions for Real-World Impact 🌐
Cover image for 🤖 MediBot AI – AI-Powered Medical Chatbot
🤖 MediBot AI – AI-Powered Medical Chatbot
0
8
Cover image for Comment Feel - YouTube Comments Sentiment Analyzer Tool
Comment Feel - YouTube Comments Sentiment Analyzer Tool
0
26
Cover image for Dish Decode- Flask Based API for Recipe Extraction from video
Dish Decode- Flask Based API for Recipe Extraction from video
0
3
Placeholder project card media
View more →
AI Developer(3)