Freelancers using Python in Karnataka

Freelancers using Python in KarnatakaFreelancers using Python in Karnataka

Projects People

proBengaluru, India

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

$5k+: Earned

3x: Hired

4.9: Rating

68: 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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9

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

2

32

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

ClearBook - AI SaaS Development | For Enterprise Data Management

2

30

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

Rebuilding an Animal Shelter's Entire Digital Operation

1

4

proBengaluru, India

Replit production-ready MVPs for nontechnical founders

$1k+: Earned

12x: Hired

5.0: Rating

40: Followers

Expert

Replit production-ready MVPs for nontechnical founders

Cover image for Real-time Booking Automation Platform

Real-time Booking Automation Platform

1

20

Cover image for Workflow Automation for Industrial Services

Workflow Automation for Industrial Services

2

40

Cover image for Spotify Scheduler Development

Spotify Scheduler Development

0

19

Cover image for AI Youtube shorts generator and automatic upload.

AI Youtube shorts generator and automatic upload.

2

24

Asif Farhan Khan

proBengaluru, India

AI workflows that saves you 💸 | SmushLabs.ai

2x: Hired

5.0: Rating

62: 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

3

11

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

Business Intelligence Brief: 200 Verified Local Service Profiles

2

7

Cover image for AI Business Contact Scraper

AI Business Contact Scraper

3

45

Cover image for Airtable Powered AI Chatbot

Airtable Powered AI Chatbot

2

43

proBengaluru, India

Helping B2B businesses unlock growth with AI & Automations

$5k+: Earned

5x: Hired

5.0: Rating

17: Followers

Helping B2B businesses unlock growth with AI & Automations

Cover image for Building a Slack Bot Using Python

Building a Slack Bot Using Python

0

9

Cover image for Errors Overview Board in Mixpanel

Errors Overview Board in Mixpanel

0

11

Cover image for Merchant Activity Dashboard

Merchant Activity Dashboard

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14

Cover image for Tableau Pricing Tool for Sales Team

Tableau Pricing Tool for Sales Team

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22

Bengaluru, India

Tech

$25k+: Earned

4x: Hired

5.0: Rating

11: Followers

Tech

Cover image for Production-ready Microsoft Teams Bots or Apps

Production-ready Microsoft Teams Bots or Apps

0

5

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

1

4

Cover image for Create custom MCP server for data sources

Create custom MCP server for data sources

0

5

Cover image for ERG Spark

0

7

Bengaluru, India

Data Scientist | ML, NLP & GenAI Solutions

New to Contra

Data Scientist | ML, NLP & GenAI Solutions

Cover image for What I built
Developed a machine

What I built Developed a machine learning solution to predict Buy Box and sales prices using historical analytical data and Linear Regression. How it works Analyzed the data for linear relationships, autocorrelation, multicollinearity, homoscedasticity, and normally distributed errors. Applied Principal Component Analysis (PCA) for dimensionality reduction and to improve model performance. Identified key business factors influencing price prediction. Evaluated the model using R², Adjusted R², RMSE, MAE, and MSE metrics. Technologies Python · Pandas · NumPy · Scikit-learn · Linear Regression · PCA Outcome Built a price prediction model that identified important business drivers and evaluated prediction performance using multiple regression metrics.

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51

Cover image for What I built
Developed a Natural

What I built Developed a Natural Language Processing (NLP) solution to detect DI Flag issues by analyzing and classifying text descriptions. How it works Cleaned text data by removing hashtags, HTML tags, special characters, and numeric values. Applied text preprocessing techniques including tokenization, stop-word removal, stemming, and lemmatization. Converted text into numerical features using Bag of Words (BoW) and TF-IDF. Trained and evaluated the model using accuracy and confusion matrix metrics. Performed 30 days of validation testing before production deployment. Technologies Python · NLP · Scikit-learn · TF-IDF · Bag of Words · Pandas · NumPy Outcome Built a text classification solution that helped identify DI Flag issues from descriptions and validated the model's performance before deployment.

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45

Cover image for What I built
Developed an automated

What I built Developed an automated clinical text summarization solution using Google Gemini AI and prompt engineering to generate concise summaries from lengthy clinical chart notes, transcripts, and unstructured medical text. How it works Processed lengthy clinical notes and transcripts. Used prompt engineering to guide Gemini in identifying important medical information. Extracted key details such as symptoms, diagnoses, medications, and treatment plans. Generated concise, readable summaries from the original clinical text. Technologies Google Gemini AI · Python · Prompt Engineering · NLP · Generative AI Outcome Reduced clinical chart review time by approximately 30%, helping healthcare professionals identify important information more quickly and efficiently.::

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45

Cover image for AI-Powered Policy Q&A Assistant
Built a

AI-Powered Policy Q&A Assistant Built a Retrieval-Augmented Generation (RAG) chatbot using Azure OpenAI GPT to answer policy-related questions with accurate, context-aware responses. What I built Extracted and structured information from policy documents into a knowledge base. Used Azure Cosmos DB for scalable information storage and retrieval. Implemented RAG to retrieve relevant policy information based on user queries. Integrated Azure OpenAI GPT to generate natural-language, context-aware answers. Technologies Python · Azure OpenAI · GPT · RAG · Azure Cosmos DB · LangChain Outcome The solution enables users to quickly find relevant information from policy documents without manually searching through lengthy documents.

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60

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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8

Cover image for saikumar0605/Dask-ml

saikumar0605/Dask-ml

0

5

Cover image for Computer-network-intrusion-detection

Computer-network-intrusion-detection

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8

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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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2

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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4

Cover image for Mood-Based Music Generator

Mood-Based Music Generator

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5

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