Freelance AI Developers in Maharashtra
Freelance AI Developers in Maharashtra
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Shezaan Ansari
pro
Mumbai, India
AI Video Producer | Brand Designer
$25k+
Earned
19x
Hired
5.0
Rating
280
Followers
expert
Expert
+4
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AI Video Producer | Brand Designer
2
AI Assistant Development for Sonic
2
32
2
Support AI Agent for Cartelle
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22
2
A hunter sparing the wolf that was meant to be his target 🏹🐺 Built this entire cinematic short using Higgsfield AI. Standard prompts usually give you flat camera motion and broken faces, so I pushed Higgsfield’s Cinema Studio controls, depth maps, and multi-shot consistency to land this level of realism. The Breakdown: Visuals: Higgsfield AI (photorealistic fur, atmospheric snow, dynamic lens lighting) Sound: Layered diegetic FX (iron clinking, snow crunch, breath) + dynamic cello score If you’re looking for high-end AI video production, pre-vis, or cinematic ad concepts—I'm open for contract work. Drop a DM or hit the hire button! 📩
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256
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STORM HERD — 30 seconds, one continuous take, no cuts. A herd of white horses stampedes across the slate rooftops of a nineteenth-century city while a thunderstorm tears the sky open behind them. The camera never breaks: it starts at hoof height on a rooftop ridge, lifts into the air as the herd charges past, drops into a chase behind them, threads between two galloping bodies, climbs above the roof valley, then dives and flies backwards ahead of the leaders to the final leap off the roof edge into open air. The whole film is graded to a single cold palette — cyan-steel monochrome, blacks crushed to zero, highlights blown to pure white. The only light source in the entire 30 seconds is the storm. Five lightning strikes punctuate the take, and at the 16-second mark one of them blows the frame completely white for two frames, turning the horses into black cut-outs before the image recovers through a bloom haze. That flash is the hardest part of the whole piece — a full-frame whiteout is exactly where a model wants to cut, and holding the take through it was the technical problem I built the prompt around. Made in CapCut Video Studio with Seedance 2.5. Full prompt and workflow below.
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4
614
AI Developer
(2)
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Anurag Nagare
Mumbai, India
I’m an AI & Machine Learning engineer with expertise in deve
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I’m an AI & Machine Learning engineer with expertise in deve
0
One Gate: Voice-controlled Gmail, Calendar, and Drive that can't fire the wrong thing Every "AI agent" demo shows a voice command turning into a sent email like magic, but almost nobody shows the part that actually matters: what stops it from sending the wrong thing. I built proof: an agent that runs your Gmail, Calendar, Contacts, and Drive by voice reply to a thread, schedule a meeting, archive an email, find a file hands-free end to end, but never fires anything irreversible without you saying so. The honest hard part isn't getting an LLM to sound smart, it's this: a transcript goes to LLM against a strict JSON schema and comes back as an ordered plan, every step tagged reversible or not and exactly one thing in the whole system is allowed to check that flag. Finding a thread, drafting a reply, creating a calendar event: those just run. The result covers real ground without ever feeling like it's guessing: forward or reply to email with the original quoted underneath, archive/label/trash, resolve a name to a real address through your Contacts first and your mail history as fallback, schedule an event that creates quietly and only emails the invite after a second confirmation, answer "what did John say" or "what's on my calendar Thursday" grounded in content actually fetched from your account not hallucinated. No backend, no server anywhere in the loop
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23
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Everyone's building AR filters and calling it "computer vision magic." Almost nobody's asking what's actually happening underneath — that most of these effects are just clever masking, not detection. Here's proof. I built an invisibility cloak that runs entirely in the browser, no green screen, no chroma key, no model training. https://github.com/AnuragNagare/Ghost-frame
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270
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What your attention heatmap isn't telling you Everyone's staring at attention heatmaps and calling it "interpretability." Almost nobody's asking whether a single attention map actually tells you what the model used to make its decision. It doesn't. Not on its own. A raw attention map from layer 8 shows you what layer 8 attended to. It says nothing about how that signal got mixed, diluted, or overwritten by every layer before and after it. Attention rollout fixes this — and I built a walkthrough to show why it matters. Here's what makes it more than a "pretty heatmap" demo: Instead of visualizing one layer's attention, I traced how information actually flows through the full transformer stack. → Every layer's attention matrix is extracted, per head, per token → Multi-head attention is averaged, then combined with the residual connection (identity + attention) — this is the step most tutorials skip, and it's the one that actually matters → The combined matrices are matrix-multiplied layer by layer, rolling attention forward from input to output → The result: a single map showing genuine token-to-token influence across the entire network, not just one layer's snapshot The overlay shows you everything: → Per-layer attention vs. rolled-out attention, side by side → Token importance scores overlaid directly on the input text → A comparison view: which tokens raw attention says "matter" vs. which ones rollout says actually matter → Head-level breakdown so you can see which heads specialize vs. which are noise No black box. No "trust me, the model looked here." Just linear algebra, applied honestly across every layer instead of cherry-picking one. Built with PyTorch + HuggingFace Transformers + Matplotlib. Runs on any pretrained transformer, fully offline. ⚠️ Important: attention rollout is an approximation, not ground truth. It assumes attention is the primary information pathway, which ignores MLP layers and can still mislead for very deep models. Treat it as a debugging lens, not proof of causality.
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Everyone's racing to add biometrics to logins. Almost nobody's asking what happens when you can't — or shouldn't — touch the sensor. Shared kiosks, clinical settings, accessibility needs, hygiene-sensitive environments. Fingerprint readers and face unlock assume contact or a stored faceprint. Sometimes you want authentication that touches nothing and stores no biometric image of you at all. So I built GestureAuth — a contactless authentication system where your "password" is a sequence of hand gestures performed in front of a standard webcam.
1
80
AI Developer
(10)
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Rachit Bedi
Pune, India
AI developer & backend engineer 💻
$1k+
Earned
1x
Hired
5.0
Rating
4
Followers
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AI developer & backend engineer 💻
0
ChatGPT Prompt Engineer
0
50
0
Building Conversational AI Chatbot
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34
0
Professional Technical Solution Consultant
0
16
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Abu Aasif Ansari
Bhiwandi, India
I build AI agents & internal tools that act on data
12
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I build AI agents & internal tools that act on data
0
Ask My Docs — RAG-Based AI Chat Agent
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5
0
Sounds Like AI? — AI Writing Authenticity Checker
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4
1
PersonaSkill AI — Career Assessment Tool
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14
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CUT Coffee — Brew Your Story I reimagined CapCut as a premium coffee brand for creators. The scissors become a cup mark. The timeline becomes a film-strip sleeve. Every great story begins with a cut. Direction A — CapCut as a Different Industry https://www.linkedin.com/posts/abuaasif_capcutdesignstudio-branddesign-capcut-activity-7467333219772952576-53vt?utm_source=share&utm_medium=member_desktop&rcm=ACoAACRm5rcB0nVG0_HUX6-IXfuWqNGquZ-jMQU
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573
AI Developer
(3)
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Deepak Patil
Pune, India
Cloud Infrastructure Engineer | AWS, Serverless & AI Systems
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Cloud Infrastructure Engineer | AWS, Serverless & AI Systems
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AI-Powered Document Summarizer & Chat System
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4
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Event-Driven Serverless Pipeline for Unstructured Data on AWS
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5
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Clarity beats complexity. I built this consequence map to cut through noise and see decisions for what they really are — trade-offs with outcomes. No guesswork, no overthinking. Just cause → effect, laid out clean. Good decisions aren’t luck. They’re mapped.
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PDFConverterOnlineFree – Node.js PDF Tool I built this project as a practical, real-world PDF tool that runs completely online and doesn’t rely on any database. The idea was simple — most PDF tools out there are either paid, slow, or store user files. I wanted to create something lightweight, fast, and privacy-friendly using open-source tools. 🔗 Project Link: https://github.com/deepakpatilauthor/PDF-Tool-Node-JS-Project What this project does This web app lets users: Convert PDFs to formats like Word, Excel, and images Convert files back into PDF Merge, split, and compress PDFs Use everything without signing up All files are processed temporarily and deleted automatically, so nothing is stored. How I built it I used Node.js for the backend and connected it with: Ghostscript for handling PDF operations like compression LibreOffice for document conversions The whole system is stateless (no database), which keeps it simple and fast. Why I built it this way I wanted to prove that you don’t always need paid APIs or heavy infrastructure to build something useful. With the right open-source tools, you can create a solid, production-ready app. What I learned Working with system-level tools like Ghostscript and LibreOffice Handling file uploads and processing efficiently in Node.js Building a clean workflow without relying on a database Thinking about performance and user privacy Final thoughts This project is a good example of how I approach building tools — keep it simple, make it useful, and avoid unnecessary complexity.
0
148
AI Developer
(2)
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Koustubh Lapate
Pune, India
Full Stack Developer
20
Followers
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Full Stack Developer
1
I am excited to announce that I have an Cattle Monitoring System to detect lumpy disease in cows.!! Integrated real-time data collection on cow activity (steps count, temperature, milk production) via an API to assess health. Built a machine learning model for image classification to analyze cow images and predict lumpy disease. Implemented a continuous monitoring system, allowing farmers to upload images for daily health analysis over a period of time. Designed backend API to process data, perform AI-driven predictions, and send health alerts to the frontend.
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Hey everyone, Super excited to share something I’ve been working on - inteGPT, an AI-powered platform I built to help interior designers and creative teams become 10x more productive. The goal behind inteGPT is simple: to help creatives focus more on imagination and less on repetitive work. The platform brings together speed, precision, and creativity, making it easier to generate ideas, designs, and assets in seconds. Whether you’re brainstorming design concepts or building client-ready visuals, inteGPT helps you stay ahead in today’s fast-moving creative world. Check it out and see how AI can completely transform your workflow - https://www.integpt.com/
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A website isn’t just your digital identity - it’s your first impression in milliseconds. I’ve seen clients focus entirely on visuals while ignoring usability. But a clean design without logical flow leads to drop-offs, not conversions. I recently redesigned a landing page to improve user journey clarity and load speed. The bounce rate dropped by 28%. My Portfolio - https://www.koustubhlapate.com/ Great design doesn’t just look good; it feels right to users. If you’re looking to refine your site’s UI/UX for real-world impact, I’m open for new freelance projects.
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I am excited to share that I’ve built an AI-based Real Estate Chatbot that helps users find properties, answer FAQs, and capture leads - all in real-time! 📌 Key Features: ✅ Instant responses to customer inquiries ✅ Smart property recommendations based on budget, location & other parameters ✅ Seamless lead capture to boost conversions 📽️ 𝐂𝐡𝐞𝐜𝐤 𝐨𝐮𝐭 𝐭𝐡𝐞 𝐝𝐞𝐦𝐨 𝐯𝐢𝐝𝐞𝐨 𝐚𝐭𝐭𝐚𝐜𝐡𝐞𝐝! 🚀 Want this chatbot for your real estate business? I’m ready to integrate it! 💡 Need a custom AI chatbot for your industry? I can build one tailored to your needs! Let’s connect and bring AI-powered automation to your business!
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244
AI Developer
(2)
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Bhavya Shah
Mumbai, India
Tech solutions with a product-first approach.
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Tech solutions with a product-first approach.
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RewriterPro
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43
0
PhraseCraft: Revolutionize your web presence with AI-driven cont
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29
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MuchBeta: Connecting writers with tailored beta readers
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19
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Abil Alam
Indapur, India
AI Developer: Automate with AI Bots
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AI Developer: Automate with AI Bots
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functionality of Perchance pages. This
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13
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functionality of Perchance pages. This
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5
0
WIKI
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12
0
Text to image
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12
AI Developer
(4)
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