Commit eeda46

2025-09-25 07:27:28 Nikhil: update design
Projects/Sentify.md ..
@@ 1,14 1,13 @@
- > <center><h1> <b>Sentify </b></h1></center>
+ > <center><h1> <b>Sentify <br> <h4>Turning News-Based-Sentiment into Crypto Certainty..</h4> </b></h1></center>
- **Tagline:** Turning News-Based-Sentiment into Crypto Certainty..
+ <!-- **Tagline:** **Turning News-Based-Sentiment into Crypto Certainty..** -->
**Team:** [[Teams/Team Apex]]
- <!-- Link to your team's page -->
**Project Status:** Planning
- ## Project Overview
+ > ## Project Overview
::: warning
Crypto markets move at lightning speed, driven by global news, community sentiment, and collective emotion — not just price charts. Most traders struggle to keep up, relying on gut feelings or reacting too late.
@@ 19,14 18,14 @@
Our goal is simple: stop guessing, start trading on quantified market probability.
:::
- ## The Problem
+ > ## The Problem
- **Signal-to-Noise Problem :-** The crypto market thrives on constant online chatter — from influencers, news sources, and discussion forums — but manually analyzing this flood of information is nearly impossible. Traders struggle to distinguish authentic market-moving insights from distractions like scams, bots, and irrelevant commentary
- - **Lack of Quantified Sentiment :-** News-Based-Sentiment sentiment is one of the primary drivers of crypto volatility, yet most traders lack a reliable, data-driven way to measure it. There is no objective, probabilistic tool that links market conversation directly to actionable price predictions, leaving traders to rely on intuition instead of insight.
-
- ## Our AI Solution
+ - **Lack of Quantified Sentiment :-** News-Based-Sentiment is one of the primary drivers of crypto volatility, yet most traders lack a reliable, data-driven way to measure it. There is no objective, probabilistic tool that links market conversation directly to actionable price predictions, leaving traders to rely on intuition instead of insight.
+ >
+ > ## Our AI Solution
**What It Does ? 🎯**
@@ 44,8 43,8 @@
- **Prediction:** A probabilistic model correlates sentiment intensity and relevance with potential market impact.
- **Output:** Users receive instant notifications with a predicted percentage — telling you if the news is likely bullish or bearish — so you never miss a market-moving event.
-
- ## Technology Stack
+ >
+ > ## Technology Stack
* **AI/ML Models:** (Gemini API)
* **Frameworks & Libraries:** (PyTorch, LangChain, Pandas)
@@ 54,8 53,8 @@
* **Databases:** (PostgreSQL with pgvector, Redis, Firebase)
* **Deployment & Tools:** (Docker, Git, AWS)
* **APIs Used:** (coingecko.com / coinmarketcap.com API)
-
- ## Project Architecture
+ >
+ > ## Project Architecture
(Optional but highly recommended for complex projects. A diagram works best here. You can describe it if you can't add an image.)
This wiki also supports "mermaid" where you can create architectural diagrams using text.
@@ 68,23 67,23 @@
```
- ## Challenges & Learnings
+ > ## Challenges & Learnings
What was the hardest part of this project? What did your team learn about the AI models, the data, or the problem domain?
- ## Future Roadmap
+ > ## Future Roadmap
What are the next steps for this project if it were to continue?
* [ ] Short-term goal (e.g., Improve model accuracy to 95%)
* [ ] Medium-term goal (e.g., Launch a mobile app)
* [ ] Long-term goal (e.g., Open-source the project)
- ## Repository & Live Demo
+ > ## Repository & Live Demo
* **GitHub Repository:** [Link to your code repo here]
* **Live Demo:** [Link to your live demo or video walkthrough here] (Highly encouraged!)
- ## Screenshots / Demo Video
+ > ## Screenshots / Demo Video
(Embed screenshots of your working application or a video demo here. A picture is worth a thousand words.)
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