Harnessing AI across Healthcare, Finance, Agriculture, NLP, Safety & More
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! 🌱
📌 Table of Contents
📦 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)
🗓️ 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.
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)
| 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 |
- ⭐ Fork + Clone
git clone https://github.com/YOUR-USERNAME/DataSentience-AIML.git
cd DataSentience-AIML- 🛠️ Pick or Create an Issue
- 📁 Work inside correct
src/folder - 📝 Include README.md + instructions
- ✅ Create Pull Request (
Closes #X)
| 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.
# 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
- 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
| Metric | Status |
|---|---|
| Models Implemented | 15+ |
| Domains Covered | 8 |
| Ready-to-Use Models | 5+ |
| Python Version | 3.8+ |
| Active Contributions | ✅ Ongoing |
| Code Coverage | ~78% |
- ✔️ 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
- Ask via GitHub Issues
- Stay respectful, inclusive, and helpful
- 🌍 Open-source is for everyone!
 |
❤️ Thanks Contributors!
We’re glad you're here. Contribute, learn, and innovate with us this summer!