Freelancers using Streamlit in Mumbai

Freelancers using Streamlit in MumbaiFreelancers using Streamlit in Mumbai

Projects People

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

New to Contra

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

Cover image for launched TextGenix Enterprise — an AI-powered intelligent do...

launched TextGenix Enterprise — an AI-powered intelligent document processing system! This platform enhances and transforms documents (PDF, DOCX, TXT, HTML, RTF) with context-aware vocabulary improvements, grammar validation, and industry-specific terminology (legal, medical, financial, technical). It comes with a sleek Gradio-based web interface featuring modern styling, interactive analytics dashboards, and real-time quality metrics like semantic preservation, grammar score, and AI confidence levels. If you’re looking to build your own AI-powered text/document platform, enhance business workflows with custom NLP models, or integrate analytics-driven AI solutions into your enterprise apps I can help.

0

41

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.

0

15

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.

1

26

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.

0

16

Chirag Patankar

Freelance Web Developer & AI Enthusiast helping brands build

Freelance Web Developer & AI Enthusiast helping brands build

Cover image for Weld Defect Classification System

Weld Defect Classification System

0

4

Cover image for Toxic Comment Classifier and Moderator App

Toxic Comment Classifier and Moderator App

0

3

Cover image for AI Customer Support Bot - MCP Server Development

AI Customer Support Bot - MCP Server Development

0

6

Placeholder project card media

View more →

GameDev, AIML Dev, CyberSec, Pixel Art, Python Automations.

GameDev, AIML Dev, CyberSec, Pixel Art, Python Automations.

Cover image for GeoFeatures

0

3

Cover image for Cavern of Shadows

Cavern of Shadows

0

2

Cover image for Legends Of Raj

0

1

Placeholder project card media

View more →