Freelancers using Streamlit in India

Freelancers using Streamlit in IndiaFreelancers using Streamlit in India

Projects People

AI Systems Engineer | Enterprise AI & RAG Platforms

New to Contra

AI Systems Engineer | Enterprise AI & RAG Platforms

Cover image for AI-Powered Churn Prediction Engine for Telecom

AI-Powered Churn Prediction Engine for Telecom

0

0

Cover image for Autonomous Market Researcher (Multi-Agent AI System)

Autonomous Market Researcher (Multi-Agent AI System)

0

0

Cover image for Enterprise BI & Revenue Prediction Platform Development

Enterprise BI & Revenue Prediction Platform Development

0

1

Cover image for Enterprise RAG Document Intelligence Engine

Enterprise RAG Document Intelligence Engine

0

1

Freelance Data Scientist | Python & ML Expert

10: Followers

Freelance Data Scientist | Python & ML Expert

Cover image for Fraud Transaction Detection System

Fraud Transaction Detection System

1

4

Cover image for Hybrid AI Movie Recommendation System for Pre-2015 Films

Hybrid AI Movie Recommendation System for Pre-2015 Films

1

1

Cover image for Lung Cancer Survival Prediction Model Development

Lung Cancer Survival Prediction Model Development

0

2

Placeholder project card media

View more →

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

AI/ML Engineer crafting intelligent systems & AI solutions.

10: Followers

AI/ML Engineer crafting intelligent systems & AI solutions.

Cover image for In this project, I developed a Sentiment Analysis Web App us...

In this project, I developed a Sentiment Analysis Web App using deep learning (CNN) and traditional models to classify text sentiment with high accuracy. The system includes a complete evaluation pipeline comparing CNN, LSTM, Logistic Regression, Random Forest, and Naive Bayes — analyzing performance across multiple iterations and datasets. Key Highlights: Built a Streamlit-based web app for real-time sentiment classification Developed and evaluated multiple models for accuracy and F1-score Created detailed analysis reports and prototype schematics Project here → GitHub Repository (https://github.com/Imkaran04/Sentiment_Analysis_Web_App/tree/main) Reports: Sentiment Analysis Report (PDF), Product Prototype Diagram Tech Stack: Python, Streamlit, TensorFlow/Keras, Scikit-learn, Matplotlib

0

30

Cover image for Scientific Image Forgery Detection — Kaggle Competition Part...

Scientific Image Forgery Detection — Kaggle Competition Participated in the ongoing Kaggle competition on Copy-Move Forgery Detection in Scientific Images, aimed at identifying manipulated biomedical figures that can compromise research integrity. For this challenge, I developed a ResNet50 + U-Net hybrid segmentation model using PyTorch, designed to detect and segment forged regions at the pixel level. My approach combines Dice and Focal losses for balanced training, WeightedRandomSampling to oversample forged images, and Test-Time Augmentation (TTA) to improve prediction robustness. Achieved an initial score of 0.303 on the public leaderboard. I’m continuing to experiment with architecture tuning, learning rate schedules, and other loss functions to further enhance performance and generalization.

0

57

Cover image for Introducing QuickSynopsis, a fully-featured AI-based summari...

Introducing QuickSynopsis, a fully-featured AI-based summarization and text comparison web app designed for speed, simplicity, and scalability. This project lets users: Generate efficient, context-aware summaries for any text. Compare multiple Summaries to highlight key differences. Enjoy a responsive UI with user authentication. Built using Python (Flask), HTML/CSS/JS, and SQLite/MySQL, QuickSynopsis can easily be customized or deployed to your preferred cloud platform. Key Features: AI-powered summarization & text comparison Signup/login authentication Integrated payment gateway (customizable) Responsive, modern UI/UX Ready-to-deploy setup for Heroku, AWS, or local hosting Explore the repo: GitHub – QuickSynopsis-Version-Control (https://github.com/Imkaran04/QuickSynopsis-Version-control)

0

32

Cover image for I recently fine-tuned the Mistral 7B Instruct model on a dat...

I recently fine-tuned the Mistral 7B Instruct model on a dataset of NDA (Non-Disclosure Agreement) documents — building an AI reviewer capable of identifying compliance issues and clause inconsistencies. To make the model more accessible, I converted the trained weights to CPU-compatible files, allowing efficient inference without GPU requirements. Model: Mistral 7B Instruct v0.1 Focus: Legal text review & semantic understanding Tech: PyTorch, Transformers, Kaggle Check out the full notebook here → [Kaggle Project Link (https://www.kaggle.com/code/karansingh123456/nda-reviewer-model-training)] My Kaggle account here → Profile (https://www.kaggle.com/curiouscyborgs) #AI #NLP #SentimentAnalysis #DeepLearning #CNN #LSTM #DataScience #GitHub

0

20

Tiruchirappalli, India

AI Engineer and Wed Developer 💻

5.0: Rating

4: Followers

AI Engineer and Wed Developer 💻

AI Logo Generator App Development

0

7

Cover image for AI Service Development for MedSixty

AI Service Development for MedSixty

3

27

Cover image for Responsive Website for Work Outsourcing Solutions

Responsive Website for Work Outsourcing Solutions

0

0

Cover image for Direct Care Services Website Development

Direct Care Services Website Development

0

2

Framer| Webflow | Python Developer | AI/ML Solutions

6: Followers

Framer| Webflow | Python Developer | AI/ML Solutions

Cover image for Customer Segmentation Web App Using ML Clustering

Customer Segmentation Web App Using ML Clustering

0

7

Cover image for NeuroSync — AI Productivity Tool Website

NeuroSync — AI Productivity Tool Website

0

4

Cover image for Custom Notion Dashboard for Freelance Management

Custom Notion Dashboard for Freelance Management

0

9

Cover image for Responsive Landing Page Design for WriteWell AI

Responsive Landing Page Design for WriteWell AI

0

5

Data Science | Mathematics Tutor| AI Automations

Data Science | Mathematics Tutor| AI Automations

Cover image for Time Series Analysis on Chicago Taxi Trips

Time Series Analysis on Chicago Taxi Trips

1

1

Cover image for CineMatch-Engine: A High-Performance Movie Recommendation System

CineMatch-Engine: A High-Performance Movie Recommendation System

0

1

Cover image for Real Estate Price Prediction and Recommendation System

Real Estate Price Prediction and Recommendation System

0

4

Placeholder project card media

View more →

AI & ML Solutions for Real-World Impact 🌐

AI & ML Solutions for Real-World Impact 🌐

Cover image for Comment Feel - YouTube Comments Sentiment Analyzer Tool

Comment Feel - YouTube Comments Sentiment Analyzer Tool

0

21

Cover image for 🤖 MediBot AI – AI-Powered Medical Chatbot

🤖 MediBot AI – AI-Powered Medical Chatbot

0

5

Cover image for Dish Decode- Flask Based API for Recipe Extraction from video

Dish Decode- Flask Based API for Recipe Extraction from video

0

0

Placeholder project card media

View more →