Software Development Projects in Delhi
Software Development Projects in Delhi
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AKASH VASHISHTHA
pro
Realm - Social Media Platform for Music Producers and Artists
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125
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Mrs. Pinki
pro
End-to-End Laravel SaaS Platform Development for TenancyWeb
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36
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Wahid Ali
pro
AI Search Optimization Platform
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20
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Rishi Bajpai
Regenix - Healthcare System Modernization for Regenix
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2
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Vinay Shankar Dubey
pro
Flutter Music/Story App Development with Flutterflow
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25
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Nick K
Quickflow
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6
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Rahul Kasana
Pulse Web App
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7
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Ritik Goyal
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?
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64
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Ajay Bidyarthy- AI Full Stack Developer
I build AI-powered websites and web applications that deliver smart, interactive, and user-friendly experiences. I integrate AI features, connect systems with secure APIs, and ensure scalable, high-performance solutions from development to deployment.
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184
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Mansi Sharma
Developed and customized the Moodle LMS platform for the SELC, implementing secure authentication, course management modules, and performance optimizations.
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33
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Anil Singh
Startup Discovery & Pitch Platform
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5
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Chiranjeev Singh
Zoomii. a fun project for my client that identified pet emotions and fun facts about the animal based on its image using advanced AI techniques.
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29
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Vaibhav Mishra
Rice Grain Species Classification using Machine Learning
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2
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Ankit Pathak
Komradz β Web3/NFT-focused platform built with a polished frontend, responsive product flows, and a clean digital asset experience.
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45
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Mohit Goyal
Security Header WordPress Plugin
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19
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Aniket Panchal
π€ MediBot AI β AI-Powered Medical Chatbot
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8
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