🌐 DataSentience-AIML 💡

Part of Social Summer of Code 2025 🚀

Harnessing AI across Healthcare, Finance, Agriculture, NLP, Safety & More

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👋 Welcome Contributors!

This collaborative initiative under Social Summer of Code 2025 is focused on building real-world AI/ML solutions across various domains using:

• 🤖 Deep Learning
• 🔁 Reinforcement Learning
• 🧠 LLM / NLP
• 📊 Data Science & Intelligent Automation

Solving use-cases in:

• 🏥 Healthcare
• 💰 Finance
• 🌾 Agriculture
• 📈 Stock & Crypto
• 🛣️ Road Safety
• 🧠 BiLSTM Architectures
• 🔒 Federated Learning
• 📷 Optical Detection
• 💬 Chatbots and NLP tasks

Let’s innovate, build, and grow — one PR at a time! 🌱

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📌 Table of Contents

• 📁 Project Structure
• 🔄 Restructuring Info
• 💡 Build or Contribute
• 🏷️ Issue Labels
• 🧑‍💻 Get Started
• 🏆 Points System
• ⚙️ Setup Guide
• ▶️ Running Models
• 📈 Metrics & Status
• 📝 Recent Updates
• 💬 Community & Support
• 👨‍💻 Admin & Contributors
• 🚀 Let’s Make AI for All

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📁 Project Structure

📦 All sub-projects are now organized under the src/ directory:

src/
├── Agricultural Solutions/
│   ├── Crop Yield Prediction/
│   ├── Crop Recommendation/
│   └── Plant Disease Detection/
│
├── Financial Analysis/
│   ├── Cryptocurrency/
│   ├── Market Analysis/
│   └── Business Analytics/
│
├── Healthcare/
│   ├── Disease Detection/
│   ├── Medical Imaging/
│   └── Health Monitoring/
│
├── Transportation & Safety/
│   ├── Driver Safety/
│   ├── Traffic Management/
│   └── Helmet Detection/
│
├── Environmental Monitoring/
│   ├── Weather Prediction/
│   └── Fire Detection/
│
├── Machine Learning Techniques/
│   ├── Federated Learning/
│   ├── OCR Systems/
│   └── Bidirectional LSTM/
│
├── Miscellaneous/
├── units/               # Shared utilities
└── requirements.txt

Each project contains:

• 📁 Scripts/Notebooks
• 📖 README.md per module
• 📊 Visualizations, datasets, outputs (if applicable)

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🔄 Restructuring Info

🗓️ Restructure Date: June 22, 2025
📁 Major migration to src/ for clarity and modularity.

📄 See CHANGES.md for detailed mappings.

⚠️ Important: Some imports may break. Please refactor accordingly and help improve path compatibility.

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💡 Build or Contribute

Build or enhance:

• 🏥 Health risk scoring, early diagnosis
• 💰 Credit scoring, fraud detection
• 🌾 Yield or disease classifiers
• 📈 Time series & price forecasting
• 💬 LLM/NLP chatbots, summarizers
• 🛣️ Traffic/helmet/accident detection
• 🔁 Federated learning, BiLSTM pipelines
• 🖥️ Web interfaces (Streamlit/Flask)

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🏷️ Issue Labels

Label	Description
SSoC-beginner	Beginner-friendly 🌱
SSoC-intermediate	Mid-level complexity
SSoC-advanced	Deep learning or complex logic
web-app	Frontend/backend integration
LLM	NLP, transformers, language models
domain-*	Specific domains (health, agri, etc.)
bug	Fix issues or errors
enhancement	Improve existing code
documentation	Improve READMEs or instructions

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🧑‍💻 Get Started

1. ⭐ Fork + Clone

git clone https://github.com/YOUR-USERNAME/DataSentience-AIML.git
cd DataSentience-AIML

2. 🛠️ Pick or Create an Issue
3. 📁 Work inside correct src/ folder
4. 📝 Include README.md + instructions
5. ✅ Create Pull Request (Closes #X)

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🏆 Points System

Task Type	Points
Bug Fixes	10
New Features	20
LLM/NLP Projects	25
Domain Contributions	25
Web Apps / Deployment	30 ⭐
Documentation	5

🏅 Top contributors are highlighted by mentors and may be featured in SSoC spotlights.

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⚙️ Setup Guide

# Clone repo and set up environment
git clone https://github.com/YOUR-USERNAME/DataSentience-AIML.git
cd DataSentience-AIML
python3 -m venv venv
source venv/bin/activate  # or venv\Scripts\activate (Windows)
pip install -r requirements.txt

# Set upstream for syncing
git remote add upstream https://github.com/PRIYANSHU2026/DataSentience-AIML.git
git fetch upstream
git pull upstream main

🛠 Common Issues:

• ModuleNotFoundError ➜ Check folder structure or update paths
• CUDA mismatch ➜ Match PyTorch version with your CUDA version
• Memory error ➜ Use cloud GPU or reduce batch size

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▶️ Running Models

• Streamlit

streamlit run app.py

• Flask

python app.py

🖥️ Hardware Suggestions

• Simple models: 8GB RAM, CPU
• Complex models: 16GB+, GPU
• LLM training: ≥32GB RAM, 8GB VRAM

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📈 Metrics & Status

Metric	Status
Models Implemented	15+
Domains Covered	8
Ready-to-Use Models	5+
Python Version	3.8+
Active Contributions	✅ Ongoing
Code Coverage	~78%

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📝 Recent Updates

• ✔️ Helmet Detection added (June 5, 2025)
• ✔️ Health Risk Model (+12% accuracy)
• ✔️ BiLSTM on MedText (May 2025)
• ✔️ Crop AI Dashboard (Streamlit)
• ✔️ Federated Framework Base Ready

🔜 In Progress:

• 📊 Real-time stock API
• 🌐 Multilingual NLP
• 📱 Mobile AI Export
• 🛠️ Deployment Templates
• 📚 Extended Docs

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💬 Community & Support

• Ask via GitHub Issues
• Stay respectful, inclusive, and helpful
• 🌍 Open-source is for everyone!

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👨‍💻 Admin & Contributors

Priyanshu

❤️ Thanks Contributors!

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🚀 Let's Make AI for All — Together!

We’re glad you're here. Contribute, learn, and innovate with us this summer!

Made with ❤️ by contributors & mentors