Freelance AI Developers in Navi Mumbai

Freelance AI Developers in Navi MumbaiFreelance AI Developers in Navi Mumbai

Projects People

proMumbai, India

AI Video Producer | Brand Designer

$10k+: Earned

14x: Hired

5.0: Rating

208: Followers

expert

expert

+7

AI Video Producer | Brand Designer

Cover image for AI Assistant Development for Sonic

AI Assistant Development for Sonic

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Cover image for Support AI Agent for Cartelle

Support AI Agent for Cartelle

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Cover image for ARRAKIS RISING

ARRAKIS RISING" is a

ARRAKIS RISING ARRAKIS RISING" is a 15-second cinematic exploration of large-scale industrial survival. 🦾 This project demonstrates a professional concept-to-final-render pipeline, focusing on tactile textures, 70mm IMAX scale, and grounded cinematography. It solves the problem of visual consistency in AI filmmaking by using a node-based architectural approach. 🛰️ Process Steps Directorial Bible (Agent Node): 🧠 Utilized a Custom Text Agent to define the visual DNA—anamorphic lens properties, desaturated "Solar-Noir" colors, and specific sand physics. Storyboarding (Image Node): 🖼️ Generated a 2x2 master grid in GPT Image 2. This locked in character consistency (pilot goggles) and mechanical geometry before moving to motion. Cinematic Simulation (Video Node): 🎬 Connected the grid as a Reference Image into Seedance 2.0. I used a scripted motion prompt to simulate 15s of motion with realistic sand weight and camera pans. Audio & Mastering (Audio/Stitch Nodes): 🔊 Synced a custom industrial-orchestral score to the harvester's mechanical ignitions for a complete trailer experience. 💬 Feedback on Melius Melius's node-based canvas is a paradigm shift for creative producers. ⚡ Wiring conceptual logic from an Agent into Image and Video reference nodes provides a professional production pipeline that ensures strict consistency across shots. Seedance 2.0’s handling of complex environmental physics is a game-changer for high-end cinematic AI. It allows the user to act as a Director, not just a prompter. 🎞️✨ 🔗 Project Link (https://app.melius.com/projects/421735cc-3c9e-4a6f-ade0-a2bb957876b0/canvas/5bbf72aa-6837-4802-9248-395f6c3ac3b2)

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Cover image for THE SOUTH | 360° Campaign

THE SOUTH | 360° Campaign

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AI Developer(2)

I’m an AI & Machine Learning engineer with expertise in deve

I’m an AI & Machine Learning engineer with expertise in deve

Cover image for Everyone's talking about quantum computing.

Everyone's talking about quantum computing. Nobody's using it to feed farmers. India loses 20–30% of its crop yield every year to diseases and pests. Not because farmers don't care — but because early detection is hard, expensive, and inaccessible to the people who need it most. The existing solutions? Either a basic image classifier trained on lab-perfect photos that fail in real field conditions, or an agronomist visit that costs time and money most small farmers don't have. So I built QuantumEdge AgriGuard — a hybrid Quantum Neural Network app where a farmer can photograph a diseased leaf on their phone and get an instant diagnosis in under 5 seconds. Here's what makes it different from just another plant disease detector: Instead of a pure classical CNN, I built a hybrid architecture — a ResNet/EfficientNet backbone extracts visual features, then passes them into a Variational Quantum Circuit (VQC) for the final classification. The quantum layer uses angle embedding + StronglyEntanglingLayers, which gives it a measurable edge on small, noisy datasets — exactly the kind of data you get from Indian field conditions. The app doesn't just tell you what disease it is. It gives you: → Confidence score → Organic + chemical remedies (India-specific) → Yield impact estimate → A live classical vs quantum accuracy comparison so you can see the difference yourself I tested the quantum advantage claim honestly — ran both models on the same downsampled PlantVillage dataset and tracked accuracy, F1-score, and inference time side by side. The results are on the dashboard. No hand-waving. Built with PennyLane + PyTorch + Plotly Dash. Designed to run on simulators today and on QpiAI-Indus 25-qubit hardware tomorrow.

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Cover image for HybridAlpha (Hybrid RAG) :

One tool

HybridAlpha (Hybrid RAG) : One tool digs into actual SEC filings, not just static documents. From EDGAR, it grabs 10, Ks and 10, Qs fresh each time. Sections like MD&A or Risk Factors get split out by name during parsing. Storage happens two ways at once: words go to ChromaDB, numbers land in SQLite. When a question arrives, the router decides, tone, driven, number, heavy, or both. Depending on that choice, the query moves to one place, sometimes both. Context flows forward only after sorting is done. Answers come from Llama 3.3 70B via Groq, always tagged with sources. Each output ties back to where the data lived. Start by asking, What risks did Apple highlight regarding AI rivals? Out comes exact quotes pulled straight from official documents.

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Cover image for A Neural Network Visualization

A Neural Network Visualization Tool that demystifies AI! I built an interactive web application using Flask and PyTorch that doesn't just recognize handwritten digits it shows you exactly how the AI "thinks." When you draw a digit (0-9) on the canvas, the app processes it through a Convolutional Neural Network and generates a real-time visualization of every layer: from edge detection in the first convolutional layer, through pattern recognition, pooling, and feature extraction, all the way to the final classification. The tech stack includes Python, Flask, PyTorch, and vanilla JavaScript for the frontend. What makes this unique is the educational aspect each layer's activations are visualized using matplotlib, showing the 32 filters in Conv Layer 1, the 64 filters in Conv Layer 2, and the 128-neuron fully connected layer.

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Cover image for SLM vs LLM for startups SLMs‍‌‍‍‌‍‌‍‍‌‍‌‍‍‌‍‌‍‍‌...

SLM vs LLM for startups SLMs‍‌‍‍‌‍‌‍‍‌‍‌‍‍‌‍‌‍‍‌ (1B–3B parameters) are becoming a kind of cheat code for startups: they can be run with a single GPU or even a powerful CPU, data can remain on your own infrastructure, and you still get almost LLM quality for very targeted tasks like support bots, internal search, or document workflows. In numerous benchmarks, contemporary SLMs are only a few F1 points behind bigger models while being up to 10–300x cheaper per request to serve. Huge‍‌‍‍‌‍‌‍‍‌ language models (between 50 billion and 70 billion+ parameters) are still the preferred option when we talk about complex multi-step reasoning, long contexts, and highly open-ended generation. Nevertheless, the vast majority of startup scenarios do not need such models for every single request.

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AI Developer(5)

Tech solutions with a product-first approach.

Tech solutions with a product-first approach.

Cover image for RewriterPro

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Cover image for PhraseCraft: Revolutionize your web presence with AI-driven cont

PhraseCraft: Revolutionize your web presence with AI-driven cont

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Cover image for MuchBeta: Connecting writers with tailored beta readers

MuchBeta: Connecting writers with tailored beta readers

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AI Developer(2)

Tailor-made, Intelligent Tools in just 3 weeks

5.0: Rating

14: Followers

Expert

Tailor-made, Intelligent Tools in just 3 weeks

Cover image for I think I sent that

I think I sent that to you on WhatsApp... or was it an email?" If you’ve said that this week, you’re not alone. But that’s usually where growth stalls. When files are in one place, deadlines are in another, and your "status updates" are buried in a group chat, chaos wins. We built The Portal because we were tired of playing detective. 🔍 It’s one home for your projects where: ✅ A deadline is a real deadline. ✅ The files you need are right where the work happens. ✅ You finally know exactly what’s happening, without the "check-in" fatigue. Less time hunting for info, more time actually building things. 🚀

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Cover image for Levanta

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Cover image for We’re experimenting with Apple-style “glass”

We’re experimenting with Apple-style “glass” to make our Glide ( (https://www.linkedin.com/company/glideapps/)glideapps.com (http://glideapps.com)) (https://www.linkedin.com/company/glideapps/) calmer and easier to scan. Not trying to be fancy.. just clearer. What we’re learning about the glass look: It’s not pure transparency. It’s a soft blur + a hint of tint so content stays readable. Depth comes from three gentle layers: background blur, a thin highlight border, and a soft shadow. Contrast matters. Text should pass accessibility checks, or the “wow” quickly turns to “where?” How we’re doing it in Glide with a touch of custom CSS: Frosted cards/nav: light translucent backgrounds, small blur. Subtle borders: 1px, low-opacity, to define edges. Rounded corners and roomy spacing to reduce visual noise. Minimal motion so the content, not the chrome, gets attention. Tiny snippet that powers a lot of the feel: .glass { background: rgba(255,255,255,.08); backdrop-filter: blur(12px); border: 1px solid rgba(255,255,255,.18); border-radius: 16px; box-shadow: 0 8px 24px rgba(0,0,0,.2); }

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Cover image for Optimize Growth: Custom App for Streamlined Business Operations

We noticed something interesting: A lot of businesses know how to grow. But as they grow, chaos grows with them. More projects. More approvals. More follow-ups. More spreadsheets. More “who’s handling this?” moments. Growth wasn’t the problem. Managing growth was. So we built a custom app where teams can stay focused on scaling the business — while the operations run smoothly in one place. ✔ Open projects ✔ Approval stages ✔ Pending payments ✔ Ownership & accountability ✔ Real-time status updates ✔ Clear team visibility That’s the difference between growing with chaos and growing with clarity.

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AI Developer(2)

Navi Mumbai, India

PyPI Author | Python Dev | Building real-world tools| UI-UX|

PyPI Author | Python Dev | Building real-world tools| UI-UX|

Cover image for Development of TEMD Python Library for Error Explanation

Development of TEMD Python Library for Error Explanation

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Cover image for TEMD: Transformative Error Message Decoder Launch

TEMD: Transformative Error Message Decoder Launch

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Cover image for 3D Product Rendering and Visualization

3D Product Rendering and Visualization

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AI Developer(1)

Web Developer building modern and minimalistic websites.

Web Developer building modern and minimalistic websites.

Cover image for Copilotmate - AI Assistant

Copilotmate - AI Assistant

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Cover image for Technical writing for Daytona

Technical writing for Daytona

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Cover image for Cryptack - CryptoTracker You Need!

Cryptack - CryptoTracker You Need!

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Cover image for Landing Page - Statify

Landing Page - Statify

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AI Developer(1)

I am an AI wizardry here to craft your digital dreams.

I am an AI wizardry here to craft your digital dreams.

Cover image for Personalized Chatbot

Personalized Chatbot

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Cover image for Gen AI developer consultant

Gen AI developer consultant

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Cover image for AI 3D Talking Avatars

AI 3D Talking Avatars

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AI Developer(2)

Holistic AI, Web & Backend Solutions

Holistic AI, Web & Backend Solutions

Cover image for Food Recipes Rating System based on Sentiment analysis

Food Recipes Rating System based on Sentiment analysis

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Cover image for Collective Intelligent Decision Platform

Collective Intelligent Decision Platform

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Cover image for Movies Recommender

Movies Recommender

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Cover image for TrendScribe

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AI Developer(1)