https://github.com/mohammadhashim135/lets-research
An AI-powered Research Assistant using Streamlit & Cohere API
https://github.com/mohammadhashim135/lets-research
agent ai collaboration good-first-issue python research streamlit web
Last synced: about 2 months ago
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An AI-powered Research Assistant using Streamlit & Cohere API
- Host: GitHub
- URL: https://github.com/mohammadhashim135/lets-research
- Owner: mohammadhashim135
- License: mit
- Created: 2025-05-16T12:08:42.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-16T12:15:22.000Z (about 1 year ago)
- Last Synced: 2026-05-02T01:34:47.781Z (about 2 months ago)
- Topics: agent, ai, collaboration, good-first-issue, python, research, streamlit, web
- Language: Python
- Homepage: https://lets-research-ai.streamlit.app/
- Size: 183 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# **Let's Research** 🔍
**An AI-powered Research Assistant using Streamlit & Cohere API**
---
## **Overview**
**Let's Research** is an intelligent web application built with **Streamlit**, designed to help users perform efficient online research. By leveraging Google Custom Search and AI-powered summarization via the **Cohere API**, this app searches, scrapes, and summarizes web content to deliver concise insights on any research topic.
---
## **Features** 🚀
✅ **Smart Web Search** – Uses Google Custom Search API to find relevant sources.
✅ **Automated Content Scraping** – Extracts and cleans text from multiple web pages.
✅ **AI-Powered Summarization** – Summarizes lengthy articles using Cohere's advanced language models.
✅ **Synthesized Reports** – Combines multiple summaries into a coherent overview.
✅ **User-Friendly Interface** – Simple Streamlit UI to input topics and view results.
✅ **Progress Tracking** – Visual progress bar showing search and summarization status.
---
## 📸 Screenshot
## **Tech Stack** 🛠
- **Frontend & Deployment:** Streamlit
- **Backend & Scraping:** Python, Requests, BeautifulSoup
- **AI & NLP:** Cohere API for summarization
- **Libraries:** Requests, BeautifulSoup, Streamlit, dotenv
- **Environment:** `.env` for storing API keys securely
---
## **Installation & Setup** 🏗
### 1. Clone the repository:
```bash
git clone https://github.com/mohammadhashim135/Lets-Research.git
cd Lets-Research
```
### **2. Create a Virtual Environment**
```bash
python -m venv .venv
# Activate it:
# Windows:
.venv\Scripts\activate
# Mac/Linux:
source .venv/bin/activate
```
### **3. Install Dependencies**
```bash
pip install -r requirements.txt
```
### **4. Start the Application**
```bash
streamlit run app.py
```
---
## **Usage Guide** 📝
🔹 **Enter your research topic in the input box.**
🔹 **Select the number of search results to process.**
🔹 **Click the "Start Research" button to begin the search, scrape, and summarization.**
🔹 **View individual summaries for each source and the final synthesized report.**
🔹 **Repeat with new topics as needed.**
---
## **Project Structure** 📂
```bash
Lets-Research/
│
├── app.py # Main Streamlit app file
├── synthesizer.py # Module for summarization and synthesis functions
├── requirements.txt # Python package dependencies
├── .env # Environment variables for API keys
├── README.md # Project documentation
└── .gitignore # Git ignore file
```
---
---
## **Contributing** 🤝
Contributions are welcome! If you’d like to improve Let's Research, feel free to fork the repo and submit a pull request.
### **Steps to Contribute:**
### **1. Fork the repository**
### **2. Create a new branch:**
```bash
git checkout -b feature-branch
```
### **3. Make your changes and commit:**
```bash
git commit -m "Added new feature"
```
### **4. Push to the branch:**
```bash
git push origin feature-branch
```
### **5. Open a Pull Request**
---
## **License** 📜
This project is licensed under the MIT License.
💡 Developed with ❤️ by [Mohammad Hashim](https://github.com/mohammadhashim135/Lets-Research.git)