Freelancers using Flask in Maharashtra
Freelancers using Flask in Maharashtra
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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
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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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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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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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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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Flask
(2)
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Adinath Sangaj
Nashik, India
Web development, AI automation & workflows, AI chatbots
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Web development, AI automation & workflows, AI chatbots
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Plant Disease Prediction System
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DevQuiz - AI-Powered Programming Quiz App
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Real-Time Drowsiness Detection System
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Flask
(1)
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Sumant Dusane
Navi Mumbai, India
Fullstack Engineer. Innovative Solutions.
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Fullstack Engineer. Innovative Solutions.
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Blog Web-application using Flask
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4
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Realtime Competitive Programming Platform
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13
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Social Media Webapp
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6
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DDIR Website
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4
Flask
(1)
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Amit Pandit
Mumbai, India
Holistic AI, Web & Backend Solutions
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Holistic AI, Web & Backend Solutions
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Movies Recommender
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6
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Collective Intelligent Decision Platform
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3
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TrendScribe
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10
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Food Recipes Rating System based on Sentiment analysis
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3
Flask
(1)
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anis mansuri
Mumbai, India
i am exited to work in data science
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i am exited to work in data science
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GitHub - Mo-Anis-24/certificate_verification
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Network Security Project Development
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GitHub - Mo-Anis-24/new-adaptivelearning
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Flask
(2)
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Abhiram Tinguria
Nagpur, India
AI Agent Developer | SaaS Automation | Replit Expert
72
Followers
Expert
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AI Agent Developer | SaaS Automation | Replit Expert
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FinanceIQ Pro – Secure Flask REST API Backend
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FinanceIQ Pro – Secure Flask REST API Backend
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PlanAI – AI-Assisted Planning & Automation Backend System
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1.5K
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Built a modern AI automation landing experience for NeuroFlow AI. This concept shows how businesses can turn repetitive operations into autonomous AI systems that recover hours every month and streamline revenue workflows. Highlights: • AI workflow automation • Custom GPT assistants • CRM & revenue automation • 312+ hours recovered monthly Exploring how AI products and automation platforms can be presented with premium SaaS design and clear product storytelling. 🚀
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Flask
(3)
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Arnav Chauhan
Mumbai, India
Fullstack Developer / Devops
5.0
Rating
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Fullstack Developer / Devops
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Custom CMS for Marketing
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26
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Marathon Registration Website
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35
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PlayHatke App
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31
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Flask
(1)
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sahil bhuvad
Mumbai, India
Experienced web developer with expertise in front-
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Experienced web developer with expertise in front-
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Let’sSolveit
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25
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Decentralized-HealthCard-App
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15
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Webflow website
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16
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Sahil Bhuvad Portfolio
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24
Flask
(2)
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