Fix project descriptions and update IDs

Updated project entries by correcting descriptions and IDs, and added new project details.

Author: Meatball1601

Source code/src/data/projectsData.ts

@@ -37,14 +37,23 @@ export const projectsData: Project[] = [
   {
     id: "3",
     title: "Neural Network Quantization Benchmarking",
-    description: "Systematic comparison of quantization methods across multiple deep learning architectures.",
+    description: "Systematic comparison of quantization methods across multiple deep learning architectures",
     category: "AI Software",
     status: "Active",
     year: 2025,
     recruitingFor: true
   },
   {
     id: "4",
+    title: "UPMEM-MLP",
+    description: "Multilayer perceptron in pure C enhanced with UPMEM PIM-based training",
+    category: "AI Hardware",
+    status: "Active",
+    githubLink: "https://github.com/OpenHardware-Initiative/UPMEM-MLP",
+    year: 2025
+  },
+  {
+    id: "5",
     title: "SpikingC",
     description: "SNN implementation in C for efficient spiking neural network computation with optimized performance and debugging capabilities.",
     category: "Spiking Neural Networks",
@@ -53,7 +62,7 @@ export const projectsData: Project[] = [
     year: 2024
   },
   {
-    id: "5",
+    id: "6",
     title: "Fortiss Hackathon 2023 - Gesture Recognition",
     description: "SNN-based gesture recognition system developed during the November 2023 Hackathon with Fortiss.",
     category: "Spiking Neural Networks",
@@ -62,15 +71,15 @@ export const projectsData: Project[] = [
     year: 2023
   },
   {
-    id: "6",
+    id: "7",
     title: "DenseSpiking RTL",
     description: "Implementation of a Dense Layer with Leaky Integrate and Fire (LIF) neurons in SystemVerilog for FPGA deployment.",
     category: "Chip Design",
     status: "Completed",
     year: 2023
   },
   {
-    id: "7",
+    id: "8",
     title: "Spiking Mobile ViT",
     description: "A mobile-optimized Vision Transformer model using spiking neural networks for efficient visual processing on edge devices.",
     category: "Spiking Neural Networks",