Freelancers using TensorFlow in India
Freelancers using TensorFlow in India
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Subhradip Roy
India
AI & Software Development Specialist | AI Artist
2x
Hired
5.0
Rating
12
Followers
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AI & Software Development Specialist | AI Artist
0
Clearbook : AI powered Application to Automate Data Analytics
0
72
0
3D Pose Estimation: Motion Analysis through Computer Vision
0
52
0
Unveiling Hotel Reviews with EDA, NLP and Deep Learning Models
0
79
1
Analyzing and Forecasting Cryptocurrency using Deep Learning
1
65
TensorFlow
(4)
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Pratik Shihora
PRO
Ahmedabad, India
Fullstack Developer - Mobile App, Web, UI/UX & No-Code build
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Fullstack Developer - Mobile App, Web, UI/UX & No-Code build
0
Dog Breed Scanner Mobile App – AI/ML Utility
0
1
0
Priiize : Promotional & Rewards System
0
1
0
Slot – Business Meeting & Networking App
0
0
0
ConcordeTrak : SaaS Development
0
0
TensorFlow
(1)
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PATHAKHRK INC
Kangra, India
Creative tech solutions in AI and cybersecurity
New to Contra
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Creative tech solutions in AI and cybersecurity
0
Medical Diagnostics AI App - Health Platform
0
1
0
Real Estate AI Cold Caller | Voicebot & Lead Automation
0
0
0
AI Sales Agent for Instagram Lead Management
0
1
0
Multilingual AI Sales Agent - Lead Management & CRM Automation
0
1
TensorFlow
(2)
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Karan Singh
Kangra, India
AI/ML Engineer crafting intelligent systems & AI solutions.
7
Followers
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AI/ML Engineer crafting intelligent systems & AI solutions.
0
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
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25
0
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
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16
0
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.
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40
0
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
28
TensorFlow
(2)
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Magesh Sundar
Chennai, India
AI-powered enterprise applications that scale and innovate
$10k+
Earned
10x
Hired
3
Followers
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AI-powered enterprise applications that scale and innovate
1
License Plate Recognition System with YOLOv4 and Tesseract
1
3
1
DVHEConverter
1
2
1
Awesome macOS Open Source Applications
1
0
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TensorFlow
(1)
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AKHILESH YADAV
Kolkata, India
Data Science | Mathematics Tutor| AI Automations
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Data Science | Mathematics Tutor| AI Automations
0
CineMatch-Engine: A High-Performance Movie Recommendation System
0
0
0
Real Estate Price Prediction and Recommendation System
0
3
1
Time Series Analysis on Chicago Taxi Trips
1
0
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TensorFlow
(1)
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Tanveer Singh
Rohtak, India
Computer Vision Solutions | Deep Learning |AI/ML|Annotations
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Computer Vision Solutions | Deep Learning |AI/ML|Annotations
0
AI Powered Roundabout Traffic Monitoring Using YOLO and FastAPI
0
4
0
Fight Detection using YOLOv10, YOLO-NAS, YOLOv8
0
5
0
Face Recognition and Matching using YOLO and Facenet512
0
5
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TensorFlow
(2)
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Rahul Kumar Singh
Dehradun, India
Data analysis, Frontend dev, AI/ML, Social Media expert
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Data analysis, Frontend dev, AI/ML, Social Media expert
0
Anomaly Detection for Fraud Detection in Financial Transactions
0
0
0
Customer Purchase Analysis Project
0
1
0
Text-to-Image Generation with Diffusers
0
1
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TensorFlow
(2)
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