Freelancers using Flask in Navi Mumbai

Freelancers using Flask in Navi MumbaiFreelancers using Flask in Navi Mumbai

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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 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 I’m excited to share AuditFlow AI – AI-powered continuous au...

I’m excited to share AuditFlow AI – AI-powered continuous auditing platform built specifically for Chartered Accountants and audit firms. CA's practices today are drowning in manual sampling, 40–60 hour audit cycles, talent shortages, and rising client pressure for faster delivery with lower fees. Most frauds and GST/TDS errors go undetected until the assessment stage because traditional methods check only 2–5% of transactions. AuditFlow AI changes that completely: upload any ledger/Excel/CSV and in under 10 seconds it scans 100% of transactions, flags duplicates, round-figure entries, weekend fraud, high-value anomalies, and vendor loops – with plain-English AI explanations for every red flag. Tech stack: Python, Flask, XGBoost, Isolation Forest, scikit-learn, Bootstrap 5, and trained on 5,000+ synthetic + real-world patterns

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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 Most AI research tools are

Most AI research tools are just a chatbot with a search button. I built something different. Every time you ask an AI to research something, you're getting one model, one pass, no quality check. It writes confidently, cites poorly, and you have no idea if what it produced is actually accurate. For anyone making real decisions from AI-generated research, that's a silent risk most people ignore. The problem gets worse at scale the longer and more complex the question, the more a single model hallucinates, misses sources, and loses structure. There's no one checking its work. So I built ResearchOS a 5-agent pipeline where each agent has one job. A Supervisor breaks down your question. A Researcher runs parallel searches across 22+ sources. An Analyst extracts data and auto-generates charts. A Writer synthesises a cited report. A Critic fact-checks it and sends it back for revision if anything is wrong. The loop runs up to 3 times before the report is approved. One question in. A full cited report with charts and PDF export in under 10 minutes. I tested it live by watching the Critic catch a missing citation mid-run and send the Writer back to fix it before approval. That's the part that makes this actually usable for real work. Built on LangGraph, Groq, Tavily, ChromaDB and runs entirely on free tiers.

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Navi Mumbai, India

Fullstack Engineer. Innovative Solutions.

Fullstack Engineer. Innovative Solutions.

Cover image for Blog Web-application using Flask

Blog Web-application using Flask

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Cover image for Realtime Competitive Programming Platform

Realtime Competitive Programming Platform

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Cover image for Social Media Webapp

Social Media Webapp

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Cover image for DDIR Website

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Holistic AI, Web & Backend Solutions

Holistic AI, Web & Backend Solutions

Cover image for Movies Recommender

Movies Recommender

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Cover image for Collective Intelligent Decision Platform

Collective Intelligent Decision Platform

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Cover image for TrendScribe

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Cover image for Food Recipes Rating System based on Sentiment analysis

Food Recipes Rating System based on Sentiment analysis

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i am exited to work in data science

i am exited to work in data science

Cover image for GitHub - Mo-Anis-24/certificate_verification

GitHub - Mo-Anis-24/certificate_verification

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Cover image for Network Security Project Development

Network Security Project Development

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Cover image for GitHub - Mo-Anis-24/new-adaptivelearning

GitHub - Mo-Anis-24/new-adaptivelearning

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I build agentic AI that doesn't just predict—it executes.

6: Followers

I build agentic AI that doesn't just predict—it executes.

Cover image for Voxora ERP is a powerful

Voxora ERP is a powerful SaaS-based business management platform designed to handle invoicing, stock inventory, customer management, and financial tracking in one unified system.

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Cover image for Minicore Tech Solution is a

Minicore Tech Solution is a Mumbai-based IT services and e-commerce platform that combines technical support with online laptop sales.

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Cover image for 🚀 Built a Modern Hotel

🚀 Built a Modern Hotel Booking Website Experience Check it out: https://voxora.digital/hotel.html Designed a premium hotel/resort website UI focused on: Seamless room browsing Smooth booking experience Luxury visual storytelling Mobile-first responsive design Conversion-focused layout This kind of platform acts like a 24/7 digital reception for hotels — helping them increase direct bookings without relying on third-party commissions. Perfect for: :Hotels & Resorts Villas & Homestays Boutique stays If you're building in the hospitality space or need a high-converting website, let’s connect

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Cover image for Docktor Spine Solution is a

Docktor Spine Solution is a modern healthcare product website designed to showcase advanced spine therapy and massage equipment.

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Fullstack Developer / Devops

5.0: Rating

Fullstack Developer / Devops

Cover image for Custom CMS for Marketing

Custom CMS for Marketing

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Cover image for Marathon Registration Website

Marathon Registration Website

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Cover image for PlayHatke App

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Experienced web developer with expertise in front-

Experienced web developer with expertise in front-

Cover image for Let’sSolveit

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Cover image for Decentralized-HealthCard-App

Decentralized-HealthCard-App

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Cover image for Webflow website

Webflow website

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Cover image for Sahil Bhuvad Portfolio

Sahil Bhuvad Portfolio

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Mohiddin Shaikh

DevOps & Cloud Security Engineer building secure & scalable

DevOps & Cloud Security Engineer building secure & scalable

Cover image for High-Performance DevOps Setup for Real-Time Audio Streaming

High-Performance DevOps Setup for Real-Time Audio Streaming

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Cover image for Infrastructure Security Setup (AWS + Docker Hardening)

Infrastructure Security Setup (AWS + Docker Hardening)

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Cover image for HIPAA-Compliant CI/CD Deployment on Render

HIPAA-Compliant CI/CD Deployment on Render

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