Weekly Progress

## 📅 Week 01
### 🗓 Day 01 (2025-10-13)
## Key Accomplishments:
```
- Defined the main problem statement and core objectives for **Kisan+ - Your Farming Assistant**.
- Designed initial **user-friendly interface** (voice-first).
- Gathered and reviewed relevant datasets for **crop diagnosis ML model**.
- Defined Backened Structure,UI flow,core MVP features.
```
## Goals for Next Day:
```
- Preprocess and analyze the crop image dataset for ML training.
- Start implementing the basic **crop disease diagnosis ML model** (image classification).
- Collaborate with backend team on data formats for model integration.
- Prepare documentation for frontend-backend-ML interaction.
```
#### 👥 **Team Contributions**
```
* **[A.Nabithra]:** ML dataset research and design plan for crop diagnosis model
* **[Ramitha Chowdhary]:** Set up FastAPI backend structure and PostgreSQL database.
```
### 🗓 Day 02 (2025-10-14)
## Key Accomplishments:
```
- Began initial setup for the **Kisan+** project implementation phase.  
- Installed and configured essential **libraries and dependencies** for backend and ML modules.  
- Organized the project structure with proper **directory setup** for scalability and maintenance.  
- Downloaded and prepared **sample datasets** from Kaggle for preliminary ML testing.  
- Established foundation for model integration and API structure in upcoming sessions.
```
## Goals for Next Day:
```
- Create proper **API endpoints** for user operations and database handling.  
- Start building and testing the **crop disease prediction ML model** using the prepared datasets.
```
#### 👥 **Team Contributions**
```
* **[Ramitha Chowdhary]:** Installed all required libraries through VS Code, finalized tech stack (FastAPI, PostgreSQL, TensorFlow), and organized project structure.  
* **[A. Nabithra]:** Collected relevant sample datasets from Kaggle and prepared data directories for ML model input.  
```


## 📅 Week 02
### 🗓 Day 01 (2025-10-20)
## Key Accomplishments:
```
- Developed and tested **User Authentication Endpoints** in `user_routes.py`
- Implemented:
  - `POST /register` – User registration with schema validation (`user_schema.py`)
  - `POST /login` – Credential verification and JWT token generation
- Integrated `database.py` for user storage and session handling
- Tested all endpoints using **Postman** / **FastAPI Docs**
- Conducted research and documentation on **crop disease datasets** (focused on Kerala region)
- Identified dataset features such as **leaf color**, **texture**, and **environmental factors**

```
## Goals for Next Day:
```
- Initialize ML model structure for crop diagnosis  
- Create `/predict` route and connect it with the model  
- Begin research on preprocessing and CNN architectures  
```
#### 👥 **Team Contributions**
```
* **[A.Nabithra]:**Researched and documented crop disease datasets,Listed important dataset features and sample sources  
* **[Ramitha Chowdhary]:** Created and tested `/register` endpoint,Integrated database connection and verified API responses.
```
### 🗓 Day 02 (2025-10-21)
## Key Accomplishments:
```
- Initialized **crop diagnosis model structure** in `diagnosis_ml.py`.  
- Updated `main.py` and initialized **frontend structure**.
- Trained preliminary model on sample dataset.
```
## Goals for Next Day:
```
- Develop a fully functional crop disease classifier model.
- Build and integrate API endpoints for other features such as Help,Schemes,Market and other relevant modules.
```
#### 👥 **Team Contributions**
```
* **[Ramitha Chowdhary]:** Backend route and frontend setup.   
* **[A. Nabithra]:**  ML model training and dataset preparation.
```
Here’s a **progress journal entry for Week 03, Days 01 and 02** reflecting your major backend work and ongoing updates—styled to match previous entries and based on your commit activity:

***

## 📅 Week 03

### 🗓 Day 01 (2025-10-27)
#### Key Accomplishments:
```
- Completed major upload and integration of the backend codebase for **Kisan+ - Your Farming Assistant**.
- Merged all backend modules—user authentication, crop diagnosis API, and database models—into the main branch.
- Added `.gitignore` for improved repository hygiene (excluded `.env`, `venv`, logs, and cache).
- Finished backend restructuring: optimized import patterns and reorganized project folders for clarity and scalability.
```
#### Goals for Next Day:
```
- Review and test all backend routes after major merge.
- Update API documentation to reflect latest endpoints and integrations.
- Collaborate with frontend and ML teams to finalize model deployment strategy.
```
#### 👥 Team Contributions
```
* **[Ramitha Chowdhary]:** Led complete backend upload, merge to main, and restructuring effort; added `.gitignore` for repo hygiene.
* **[A. Nabithra]:** Provided feedback on backend structure, verified ML/DB integration points.
```

***

### 🗓 Day 02 (2025-10-28)
#### Key Accomplishments:
```
- Successfully tested backend endpoints after merge to main.
- Verified user authentication, crop disease prediction, and DB connectivity.
- Began updating requirements and preparing deployment setups.
- Documented backend changes in project wiki; planned further improvements and feature rollouts.
```
#### Goals for Next Day:
```
- Update and refine backend requirements (`requirements.txt`).
- Continue integration with ML model and frontend.
- Start preparing production deployment pipeline (to be updated soon).
```
#### 👥 Team Contributions
```
* **[Ramitha Chowdhary]:** Orchestrated backend testing and documentation; organized requirements updates.
* **[A. Nabithra]:** Supported verification and coordinated with ML/DB integration.
```