Freelancers using Python in Bengaluru

Freelancers using Python in BengaluruFreelancers using Python in Bengaluru

Projects People

proBengaluru, India

AI Developer | Full-Stack Web Apps | AI Agents & Automations

$5k+: Earned

4x: Hired

5.0: Rating

100: Followers

Expert

AI Developer | Full-Stack Web Apps | AI Agents & Automations

Cover image for Re Connect Pro - 3.8x ROI on Dormant Clients. Automated.

Re Connect Pro - 3.8x ROI on Dormant Clients. Automated.

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Cover image for AI Powered Fitness Web App | $500+ / yr per User Cost Saving

AI Powered Fitness Web App | $500+ / yr per User Cost Saving

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Cover image for ClearBook - AI SaaS Development | For Enterprise Data Management

ClearBook - AI SaaS Development | For Enterprise Data Management

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Cover image for Rebuilding an Animal Shelter's Entire Digital Operation

Rebuilding an Animal Shelter's Entire Digital Operation

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Bengaluru, India

Tech

$25k+: Earned

4x: Hired

5.0: Rating

13: Followers

Tech

Cover image for Production-ready Microsoft Teams Bots or Apps

Production-ready Microsoft Teams Bots or Apps

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8

Cover image for Create MCP Server to connect with ChatGPT and other MCP clients

Create MCP Server to connect with ChatGPT and other MCP clients

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6

Cover image for Create custom MCP server for data sources

Create custom MCP server for data sources

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Cover image for ERG Spark

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Asif Farhan Khan

proBengaluru, India

AI workflows that saves you 💸 | SmushLabs.ai

2x: Hired

5.0: Rating

68: Followers

AI workflows that saves you 💸 | SmushLabs.ai

Cover image for Human Value Index: Visualizing Media Bias in Violent Death

Human Value Index: Visualizing Media Bias in Violent Death

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Cover image for Business Intelligence Brief: 200 Verified Local Service Profiles

Business Intelligence Brief: 200 Verified Local Service Profiles

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10

Cover image for AI Business Contact Scraper

AI Business Contact Scraper

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50

Cover image for Airtable Powered AI Chatbot

Airtable Powered AI Chatbot

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proBengaluru, India

Helping B2B startups unlock growth with AI & GTM

5x: Hired

5.0: Rating

19: Followers

Helping B2B startups unlock growth with AI & GTM

Cover image for Building a Slack Bot Using Python

Building a Slack Bot Using Python

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Cover image for Errors Overview Board in Mixpanel

Errors Overview Board in Mixpanel

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12

Cover image for Merchant Activity Dashboard

Merchant Activity Dashboard

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Cover image for Tableau Pricing Tool for Sales Team

Tableau Pricing Tool for Sales Team

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Rongali Chaitanya

proBengaluru, India

Full-stack developer & product designer | AI workflows

17: Followers

Full-stack developer & product designer | AI workflows

Cover image for ClientDesk: White-Label Client Delivery Portal

ClientDesk: White-Label Client Delivery Portal

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10

Cover image for ReviewDesk: Customer Feedback and Testimonial System

ReviewDesk: Customer Feedback and Testimonial System

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11

Cover image for FollowDesk: Automated Lead Follow-Up and Booking CRM

FollowDesk: Automated Lead Follow-Up and Booking CRM

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8

Cover image for LeadDesk AI: White-Label Chatbot and Lead Capture

LeadDesk AI: White-Label Chatbot and Lead Capture

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9

Bengaluru, India

AI Product Engineer building custom LLM & RAG pipelines.

New to Contra

AI Product Engineer building custom LLM & RAG pipelines.

Cover image for Hi, I'm Mirwaise Khan, an

Hi, I'm Mirwaise Khan, an AI engineer building practical tools with large language models. This is a project I built — an Enterprise AI Document Assistant. You upload any PDF, and it indexes the content using ChromaDB and vector embeddings. Then you can ask it questions in plain English, and it retrieves the exact relevant section and gives you a grounded answer — with the source cited, so you always know where the information came from. I build systems like this — RAG pipelines, AI chatbots, and document automation tools — using Python, LLMs, and vector databases. If you need something like this for your business, let's talk.

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Cover image for Project Title:- Custom Enterprise RAG

Project Title:- Custom Enterprise RAG Assistant | Chat with Documents & PDFs Project Overview: DocuMind is an enterprise-grade Retrieval-Augmented Generation (RAG) assistant designed to eliminate manual data extraction and prevent AI hallucinations. It converts static corporate files (PDFs, reports, resumes, contracts) into an interactive, grounded knowledge engine that provides answers backed by direct page-level citations. The Problem Solved: * Manual Data Hunting: Eliminates hours spent reading through dense, complex documentation. AI Hallucinations: Constrains LLM outputs strictly to uploaded context, ensuring reliable, factual data. Lack of Auditability: Provides exact file names and page references for compliance and verification. Key Technical Features: * Dynamic Indexing: Fast chunking and local vector embedding using Hugging Face models (all-MiniLM-L6-v2). High-Accuracy Vector Search: ChromaDB integration for persistent vector storage and low-latency similarity retrieval. Decoupled Architecture: Asynchronous FastAPI backend paired with a clean, responsive Streamlit chat frontend. Contextual Synthesis: Powered by Google Gemini (gemini-2.5-flash) for cost-effective inference. Tech Stack: Python, FastAPI, LangChain, ChromaDB, Hugging Face, Google Gemini, Streamlit.

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Cover image for AI Invoice Data Extraction Dashboard
Built

AI Invoice Data Extraction Dashboard Built an AI-powered tool that automatically extracts key data from PDF invoices — vendor name, invoice number, date, tax, and total amount — and displays it in an editable dashboard for quick review before saving. Users can upload any invoice PDF, get instant structured extraction, correct fields if needed, and export clean data straight to CSV. Tech used: Python, GenAI/LLM extraction, Pandas, PDF parsing, Streamlit/web UI

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Cover image for 🚀 How I Solved the

🚀 How I Solved the HR Resume Bottleneck with AI Recruiters waste endless hours manually scanning hundreds of unformatted resumes, often missing strong candidates due to fatigue. To solve this, I built an AI Resume Screening Agent that automates the heavy lifting: Semantic Matching: Uses sentence embeddings to understand the true context of skills rather than relying on rigid keyword matching. Instant Leaderboard: Automatically parses multiple PDF resumes, computes match scores, and ranks candidates from best to worst. Actionable AI Feedback: Instantly generates structured breakdowns of candidate strengths, missing skill gaps, and hiring recommendations using the Groq API. Workflow Efficiency: Condenses hours of sorting into seconds with a one-click CSV report export. 🛠 Tech Stack: Python, FastAPI, Groq, SentenceTransformers, Pandas, HTML/CSS. Check the comments for the live public link to test it yourself! What tools do you use to speed up hiring?

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Sai Kumar Reddy N

Bengaluru, India

Lead AI Engineer | LLM's & AI Agent Developer | LangChain

Lead AI Engineer | LLM's & AI Agent Developer | LangChain

Cover image for saikumar0605/aps-end-endproj

saikumar0605/aps-end-endproj

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Cover image for saikumar0605/Dask-ml

saikumar0605/Dask-ml

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Cover image for Computer-network-intrusion-detection

Computer-network-intrusion-detection

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Siddharath Narayan

Bengaluru, India

GenAI & ML Engineer | Research Assistant at IISc | IITian

GenAI & ML Engineer | Research Assistant at IISc | IITian

Cover image for Deep Learning Framework for Seismic Image Analytics

Deep Learning Framework for Seismic Image Analytics

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Cover image for 3D Solar System Simulation for National Space Day Hackathon

3D Solar System Simulation for National Space Day Hackathon

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Cover image for Mood-Based Music Generator

Mood-Based Music Generator

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