Freelancers using Dash Plotly in Bhiwandi

Freelancers using Dash Plotly in BhiwandiFreelancers using Dash Plotly in Bhiwandi

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.

Cover image for CricVision AI - Advanced Cricket Analytics Dashboard! CricVi...

CricVision AI - Advanced Cricket Analytics Dashboard! CricVision AI is an intelligent cricket analytics platform that leverages machine learning to provide real-time match predictions and comprehensive player insights. The dashboard predicts wicket probability, expected runs per ball, and boundary likelihood using three trained ML models with StandardScaler normalization. It features interactive match scenarios (Powerplay, Middle, and Death overs), over-by-over projections, win probability calculations, and economy rate forecasts. Users can compare players head-to-head, analyze form trends over recent innings, visualize run distribution through wagon wheels, and get AI confidence scores for all predictions - making it a complete solution for cricket enthusiasts and analysts.

Cover image for I created WealthWise Agent, a smart personal finance planner...

I created WealthWise Agent, a smart personal finance planner designed to craft personalized budget plans and investment strategies. This app takes into account user inputs like salary, expenses, and financial goals, and then uses a Large Language Model (Gemini) to analyze these factors based on the 50/30/20 budgeting rule. It offers a clear step-by-step reasoning log, a detailed JSON-structured financial plan, and an interactive visualization of budget allocation, empowering users to make informed choices to reach their financial goals. 💻 Tech Stack Used: Frontend/UI: Gradio (custom themed with CSS, Orbitron font) AI/Logic: Google Gemini (gemini-1.5-flash) with LangChain agents Data: yFinance API for real-time stock/ETF data, Pandas & NumPy for calculations Visualization: Plotly Express for interactive charts

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Everyone's talking about AI in healthcare. Nobody's building low-cost tools for the people who actually need early answers. Neurologists are overbooked. Clinical tremor assessments require in-person visits, specialist equipment, and months of waiting. The 10 million people living with Parkinson's globally and the millions more who don't yet know have no accessible way to flag early symptoms from home. So I built TremorLens a real-time hand tremor detection tool that runs entirely on a standard webcam. Here's what makes it more than just a webcam project: Instead of simple motion detection, I built a full signal processing pipeline on top of computer vision. MediaPipe tracks 21 hand landmarks per frame. The index fingertip's x/y displacement is buffered across a 3-second rolling window. scipy FFT then decomposes that signal into its frequency components and flags dominant activity in the 4–6 Hz range clinically associated with Parkinson's resting tremors. The live overlay shows you everything: → Real-time FFT power spectrum with the tremor zone highlighted → Dominant frequency readout in Hz with a 10-frame rolling average for stability → Color-coded STABLE / TREMOR DETECTED indicator → Fingertip displacement graph and movement trail → Auto-saved CSV session log timestamp, frequency, amplitude, tremor flag every session

Dash Plotly(3)

Abu Aasif Ansari

Bhiwandi, India

I build AI-powered data apps and dashboards

6: Followers

I build AI-powered data apps and dashboards

Cover image for Smart Data Analyst — AI-Powered

Smart Data Analyst — AI-Powered Data Analysis App Built a fully working AI-powered data analysis app from scratch using Streamlit and Gemini API. The problem: Most business owners have data in Excel or CSV files but no easy way to analyze it without hiring a full-time analyst or learning Python. So I built a tool where you just upload your file — and the app does the rest. → Auto-detects KPIs from any dataset → Generates charts automatically → Ask questions in plain English — get instant answers with tables and charts → Downloads full PDF report with KPIs and charts → RAG memory — remembers past questions Tech: Streamlit · Gemini API · Python · Pandas · Plotly 🔗 Live: https://smart-data-analyst-ahkz32vjd6dzvhmexkrhdm.streamlit.app/ (https://smart-data-analyst-ahkz32vjd6dzvhmexkrhdm.streamlit.app/)⭐ GitHub: https://github.com/AbuAsifAnsari/smart-data-analyst (https://github.com/AbuAsifAnsari/smart-data-analyst)

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AI-Powered Data Cleaning Tool Development

AI-Powered Data Cleaning Tool

Smart Data Analyst — AI-Powered Data Analysis App

Dash Plotly(1)

Aniket More

Mumbai, India

Data Science/Analysis, Excel, Python, Power Bi, Scikit learn

Cover image for Below is an interactive web based dashboard, using Python pa...

Below is an interactive web based dashboard, using Python pandas, plotly dash. The graphs are interactive and gets updated automatically using the drop down provided.

Cover image for Hello All, Below is a sample Dashboard for a sales data prep...

Hello All, Below is a sample Dashboard for a sales data prepared using excel. It uses data visualizations in excel and interactive slicers to modify the visuals.

Cover image for Here is the Capstone project I have got hands on experience ...

Here is the Capstone project I have got hands on experience on while completing professional certification course. It web Scrapes data from web for falcon rockets and builds a predictive model using machine learning algorithm using scikit learn model

Cover image for This is a practice project I worked on to exclusive on power...

This is a practice project I worked on to exclusive on power bi to make a simple dashboard to have an interactive visual, with date sliders. With metrics like revenue per passengers, and passenger by date

Dash Plotly(1)