Projects using Streamlit in India
Projects using Streamlit in India
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Manjusha Raavi
Document Summarizer/QA Assistant
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1
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Chirag Patankar
Weld Defect Classification System
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4
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Tamanna singh
AnimalVision App Development
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Mohammad Umar
Fraud Transaction Detection System
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3
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Akash Rawat
IPL Match Analysis
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3
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Weitblick
HR Analytics Dashboard - Streamlit
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1
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Rahul Gosavi
Health Insurance Cost Predictor
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1
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Ravi Avaiya
Chat With PDF
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3
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Karan Singh
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
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Varun Walekar
I built an AI-powered Data Analyst that turns raw CSV, Excel, or SQL data into executive-ready insights. ✅ Automatic EDA & outlier detection ✅ Visual charts & insights ✅ Executive PDF report ✅ Business recommendations ✅ Voice-based summaries This isn’t a dashboard — it’s an AI analyst for founders and teams who want fast decisions. 🎥 Watch the demo video 📩 Message me “AI Analyst” for access or a custom build #AI #DataAnalytics #Automation #BusinessIntelligence #Streamlit
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Zeeshan Siddiqui
Stable Diffusion Image Generator Web App
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1
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Neeraj Jaiswal
Supply Chain Risk and Inventory Management Dashboard
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2
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Karanveer Sharma
E-Commerce Sales Insights Dashboard
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Obili Narugari Somanath Reddy
AI-Quizify — Django + Streamlit Quiz Generator with Gemini API
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1
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Mohammad Umar
Hybrid AI Movie Recommendation System for Pre-2015 Films
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1
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Krishnansh Vasaniya
Face Attendance System Development
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