Some fixes to gsoc proposals (#1689)

Author: vvolkl

_gsocproposals/2025/proposal_BALER.md

@@ -1,7 +1,7 @@
 ---
 title: The rise of the machine (learning) in data compression for high energy physics and beyond
 layout: gsoc_proposal
-project: BALER
+project: baler
 year: 2025
 organization:
   - baler

_gsocproposals/2025/proposal_Baler-ProbabilisticCircuit.md

@@ -1,7 +1,7 @@
 ---
 title: Probabilistic circuit for lossless HEP data compression
 layout: gsoc_proposal
-project: Baler
+project: baler
 year: 2025
 organization:
   - CERN

_gsocproposals/2025/proposal_CLUEsteringAutotuning.md

@@ -4,6 +4,9 @@ layout: gsoc_proposal
 project: Patatrack 
 year: 2025
 organization: CERN
+difficulty: medium
+duration: 350
+mentor_avail: June-October
 ---
 
 ## Description
@@ -42,10 +45,6 @@ Interested students please contact [email protected]
 * Experience with machine learning and optimization techniques
 * Experience with development of Python libraries
 
-## Additional information
-* Difficulty level (low, medium, hard): medium
-* Duration: 350 hours
-* Mentor availability: June-October
 
 ## Mentors
   * **[Simone Balducci](mailto:[email protected]) (CERN UNIBO)**

_gsocproposals/2025/proposal_HSFCondDB_AILogAnalysis.md

@@ -55,5 +55,5 @@ adjustment of parameters during periods of increased request rates.
 
 ## Links
 
-* Django REST API: https://github.com/BNLNPPS/nopayloaddb 
-* Automized deployment with helm-chart: https://github.com/BNLNPPS/nopayloaddb-charts
+* Django REST API: <https://github.com/BNLNPPS/nopayloaddb> 
+* Automized deployment with helm-chart: <https://github.com/BNLNPPS/nopayloaddb-charts>